European Union's data protection agencies called for a &nbsp;ban on use of artificial intelligence (AI) to identify people in public places. The agencies pointed to the "extremely high risk to privacy.

The two bodies called for a "general ban" &nbsp;on the practice that would include "recognition of faces, gait, fingerprints, DNA, voice, keystrokes and other biometric or behavioural signals, in any context". It is a non-binding opinion.

Such practices "interfere with fundamental rights and freedoms to such an extent that they may call into question the essence of these rights and freedoms," the heads of the European Data Protection Board and the European Data Protection Supervisor said.

If it becomes a reality, the ban would include any AI that would &nbsp;"categorise individuals into clusters based on ethnicity, gender, political or sexual orientation", the statement said

The opinion of the agencies is intended for the European Commission.

The commission's plan includes special exceptions for allowing the use of mass facial recognition in cases such as searching for a missing child, averting a terror threat, or tracking down someone suspected of a serious crime.

Brussels hopes its first-ever legislative package on AI will help Europe catch up with the US and China in a sector that spans from voice recognition to insurance and law enforcement.

In a statement, the commission said it took note of the opinion, but stood by a proposal "that provides sufficient protection and limits the use of those systems to the strict minimum necessary".&nbsp;

The proposal is under negotiation at the European Parliament and among the 27 member states. The outcome could set a global standard for how tech is regulated.

(With inputs from agencies)

European Union's data protection agencies called for a ban on use of artificial intelligence (AI) to identify people in public places. The agencies pointed to the "extremely high risk to privacy.

European Union's data protection agencies called for a ban on use of artificial intelligence (AI) to identify people in public places. The agencies pointed to the "extremely high risk to privacy. The two bodies called for a "general ban" on the practice that would include "recognition of faces, gait, fingerprints, DNA, voice, keystrokes and other biometric or behavioural signals, in any context". It is a non-binding opinion. Such practices "interfere with fundamental rights and freedoms to such an extent that they may call into question the essence of these rights and freedoms," the heads of the European Data Protection Board and the European Data Protection Supervisor said. If it becomes a reality, the ban would include any AI that would "categorise individuals into clusters based on ethnicity, gender, political or sexual orientation", the statement said The opinion of the agencies is intended for the European Commission. The commission's plan includes special exceptions for allowing the use of mass facial recognition in cases such as searching for a missing child, averting a terror threat, or tracking down someone suspected of a serious crime. Brussels hopes its first-ever legislative package on AI will help Europe catch up with the US and China in a sector that spans from voice recognition to insurance and law enforcement. In a statement, the commission said it took note of the opinion, but stood by a proposal "that provides sufficient protection and limits the use of those systems to the strict minimum necessary". The proposal is under negotiation at the European Parliament and among the 27 member states. The outcome could set a global standard for how tech is regulated. (With inputs from agencies)

EU data protection agencies want ban on AI facial recognition

Social media plaform&nbsp;Facebook has developed a&nbsp;new method to reverse-engineer deepfakes and track their source.

Deepfakes are photos, videos or audio clips altered using artificial intelligence to appear authentic, which experts have warned can mislead or be completely false.

Facebook research scientists Tal Hassner and Xi Yin said their team worked with Michigan State University to create software that reverse engineers deepfake images to figure out how they were made and where they originated.

"Our method will facilitate deepfake detection and tracing in real-world settings, where the deepfake image itself is often the only information detectors have to work with," the scientists said in a blog post.

"This work will give researchers and practitioners tools to better investigate incidents of coordinated disinformation using deepfakes, as well as open up new directions for future research," they added.

Facebook's new software runs deepfakes through a network to search for imperfections left during the manufacturing process, which the scientists say alter an image's digital "fingerprint."

"In digital photography, fingerprints are used to identify the digital camera used to produce an image," the scientists said.&nbsp;

"Similar to device fingerprints, image fingerprints are unique patterns left on images... that can equally be used to identify the generative model that the image came from."

"Our research pushes the boundaries of understanding in deepfake detection," they said.

Microsoft late last year unveiled software that can help spot deepfake photos or videos, adding to an arsenal of programs designed to fight the hard-to-detect images ahead of the US presidential election.

The company's Video Authenticator software analyzes an image or each frame of a video, looking for evidence of manipulation that could be invisible to the naked eye.

(With inputs from agencies)

Social media plaform Facebook has developed a new method to reverse-engineer deepfakes and track their source. Deepfakes are photos, videos or audio clips altered using artificial intelligence to appear authentic, which experts have warned can mislead or be completely false.

Social media plaform Facebook has developed a new method to reverse-engineer deepfakes and track their source. Deepfakes are photos, videos or audio clips altered using artificial intelligence to appear authentic, which experts have warned can mislead or be completely false. Facebook research scientists Tal Hassner and Xi Yin said their team worked with Michigan State University to create software that reverse engineers deepfake images to figure out how they were made and where they originated. "Our method will facilitate deepfake detection and tracing in real-world settings, where the deepfake image itself is often the only information detectors have to work with," the scientists said in a blog post. "This work will give researchers and practitioners tools to better investigate incidents of coordinated disinformation using deepfakes, as well as open up new directions for future research," they added. Facebook's new software runs deepfakes through a network to search for imperfections left during the manufacturing process, which the scientists say alter an image's digital "fingerprint." "In digital photography, fingerprints are used to identify the digital camera used to produce an image," the scientists said. "Similar to device fingerprints, image fingerprints are unique patterns left on images... that can equally be used to identify the generative model that the image came from." "Our research pushes the boundaries of understanding in deepfake detection," they said. Microsoft late last year unveiled software that can help spot deepfake photos or videos, adding to an arsenal of programs designed to fight the hard-to-detect images ahead of the US presidential election. The company's Video Authenticator software analyzes an image or each frame of a video, looking for evidence of manipulation that could be invisible to the naked eye. (With inputs from agencies)

Facebook develops new method to reverse-engineer deepfakes and track their source

Will you accept a robot for a President? People in 30 countries - including China, US, and UK want to replace lawmakers with Artificial Intelligence. What does this tell us about our future? Palki Sharma brings you a report.

Gravitas | Study: People want to replace lawmakers with A.I.

Ever since the COVID-19 pandemic hit the world and brought everyone to heel, conspiracy theories have taken over the virtual space. Almost every object now deemed mandatory in safe human existence was subjected to the conspiracy treatment - from the virus itself to the tools used to prevent it.

Many believed masks harboured harmful waves and were instead spreading the virus. Of course, none of these are scientifically correct. Masks are a great way to protect oneself against the virus, and vaccines do save lives!

During the pandemic rush hour, many have seemed to forget the larger foe lurking in the shadows - artificial intelligence. Literature dating back to decades predicted the world would slip into a technology coma of sorts, whereby everything we own and do will be dictated by the tech available to us.&nbsp;

Although that it certainly true to some extent, technology has played a tremendous role in making our lives easier in all spheres of life from travel to knowledge accumulation.

Also read:&nbsp;<a href="http://13.235.153.162/science/first-ship-controlled-by-artificial-intelligence-prepares-for-maiden-voyage-381721" hreflang="en">First ship controlled by artificial intelligence prepares for maiden voyage</a>

But artificial intelligence has one benefit humans don’t - it is artificial! While humans are marred by limits due to our physicality, AI can relentlessly work. It can continue to create, assess, observe, and implement without needing rest.&nbsp;

AI will soon become capable of outworking humans. This will trigger a series of changes for our general ways of life. Many fields will become entirely dependent on artificial intelligence. And even though AI may not be outsmarting us any time soon, a Nobel Prize winning scientist Daniel Kahneman recently told The Guardian how AI will outwit us in all spheres imaginable.

Also read:&nbsp;<a href="http://13.235.153.162/technology/researchers-develop-artificial-intelligence-that-can-detect-sarcasm-in-social-media-384519" hreflang="en">Researchers develop artificial intelligence that can detect sarcasm in social media</a>

Referring to the power-play which will naturally ensure once artificial intelligence crosses a certain threshold of development, Kahneman said that “Clearly, AI is going to win… It’s not even close”. In fact, he wondered how people would adjust to this and called it a “fascinating problem”.

He cited the COVID-19 pandemic to explain how the human mind is incapable of dealing with problems that develop exponentially.&nbsp; Kahneman said that humans are experienced in “a more or less linear world”. When things explode unreasonably, like the Covid surges reported globally, “we’re not equipped for it”. He also said that it “takes a long time to educate intuition”.&nbsp;

Ever since the COVID-19 pandemic hit the world and brought everyone to heel, conspiracy theories have taken over the virtual space. Almost every object now deemed mandatory in safe human existence was subjected to the conspiracy treatment - from the virus itself to the tools used to prevent it.

Ever since the COVID-19 pandemic hit the world and brought everyone to heel, conspiracy theories have taken over the virtual space. Almost every object now deemed mandatory in safe human existence was subjected to the conspiracy treatment - from the virus itself to the tools used to prevent it. Many believed masks harboured harmful waves and were instead spreading the virus. Of course, none of these are scientifically correct. Masks are a great way to protect oneself against the virus, and vaccines do save lives! During the pandemic rush hour, many have seemed to forget the larger foe lurking in the shadows - artificial intelligence. Literature dating back to decades predicted the world would slip into a technology coma of sorts, whereby everything we own and do will be dictated by the tech available to us. Although that it certainly true to some extent, technology has played a tremendous role in making our lives easier in all spheres of life from travel to knowledge accumulation. Also read: First ship controlled by artificial intelligence prepares for maiden voyage But artificial intelligence has one benefit humans don’t - it is artificial! While humans are marred by limits due to our physicality, AI can relentlessly work. It can continue to create, assess, observe, and implement without needing rest. AI will soon become capable of outworking humans. This will trigger a series of changes for our general ways of life. Many fields will become entirely dependent on artificial intelligence. And even though AI may not be outsmarting us any time soon, a Nobel Prize winning scientist Daniel Kahneman recently told The Guardian how AI will outwit us in all spheres imaginable. Also read: Researchers develop artificial intelligence that can detect sarcasm in social media Referring to the power-play which will naturally ensure once artificial intelligence crosses a certain threshold of development, Kahneman said that “Clearly, AI is going to win… It’s not even close”. In fact, he wondered how people would adjust to this and called it a “fascinating problem”. He cited the COVID-19 pandemic to explain how the human mind is incapable of dealing with problems that develop exponentially. Kahneman said that humans are experienced in “a more or less linear world”. When things explode unreasonably, like the Covid surges reported globally, “we’re not equipped for it”. He also said that it “takes a long time to educate intuition”.

Humans don't stand a chance against artificial intelligence. A Nobel-winning scientist explains why

Properly understanding and responding to customer feedback on social media platforms is crucial for brands, and it may have just gotten a little easier thanks to new research by computer science researchers at the University of Central Florida who have developed a sarcasm detector.

Social media has become a dominant form of communication for individuals, and for companies looking to market and sell their products and services.

Properly understanding and responding to customer feedback on Twitter, Facebook and other social media platforms are critical for success, but it is incredibly labour-intensive.

A UCF team developed a technique that accurately detects sarcasm in a social media text.The team`s findings were recently published in the journal Entropy.

The team effectively taught the computer model to find patterns that often indicate sarcasm and combined that with teaching the program to correctly pick out cue words in sequences that were more likely to indicate sarcasm. They taught the model to do this by feeding it large data sets and then checked its accuracy.

"The presence of sarcasm in the text is the main hindrance in the performance of sentiment analysis," says Assistant Professor of engineering Ivan Garibay.

"Sarcasm is not always easy to identify in conversation, so you can imagine it's pretty challenging for a computer program to do it and do it well. We developed an interpretable deep learning model using multi-head self-attention and gated recurrent units. The multi-head self-attention module aids in identifying crucial sarcastic cue-words from the input, and the recurrent units learn long-range dependencies between these cue-words to better classify the input text," he added.

The team, which includes computer science doctoral student Ramya Akula, began working on this problem under a DARPA grant that supports the organization`s Computational Simulation of Online Social Behavior program.

"Sarcasm has been a major hurdle to increasing the accuracy of sentiment analysis, especially on social media, since sarcasm relies heavily on vocal tones, facial expressions, and gestures that cannot be represented in text," says Brian Kettler, a program manager in DARPA`s Information Innovation Office (I2O).

"Recognising sarcasm in textual online communication is no easy task as none of these cues is readily available."

This is one of the challenges Garibay`s Complex Adaptive Systems Lab (CASL) is studying. CASL is an interdisciplinary research group dedicated to the study of complex phenomena such as the global economy, the global information environment, innovation ecosystems, sustainability, and social and cultural dynamics and evolution.

CASL scientists study these problems using data science, network science, complexity science, cognitive science, machine learning, deep learning, social sciences, team cognition, among other approaches.

"In face-to-face conversation, sarcasm can be identified effortlessly using facial expressions, gestures, and tone of the speaker," Akula says.

"Detecting sarcasm in textual communication is not a trivial task as none of these cues is readily available. Especially with the explosion of internet usage, sarcasm detection in online communications from social networking platforms is much more challenging."

(With inputs from agencies)

Properly understanding and responding to customer feedback on social media platforms is crucial for brands, and it may have just gotten a little easier thanks to new research by computer science researchers at the University of Central Florida who have developed a sarcasm detector.

Properly understanding and responding to customer feedback on social media platforms is crucial for brands, and it may have just gotten a little easier thanks to new research by computer science researchers at the University of Central Florida who have developed a sarcasm detector. Social media has become a dominant form of communication for individuals, and for companies looking to market and sell their products and services. Properly understanding and responding to customer feedback on Twitter, Facebook and other social media platforms are critical for success, but it is incredibly labour-intensive. A UCF team developed a technique that accurately detects sarcasm in a social media text.The team`s findings were recently published in the journal Entropy. The team effectively taught the computer model to find patterns that often indicate sarcasm and combined that with teaching the program to correctly pick out cue words in sequences that were more likely to indicate sarcasm. They taught the model to do this by feeding it large data sets and then checked its accuracy. "The presence of sarcasm in the text is the main hindrance in the performance of sentiment analysis," says Assistant Professor of engineering Ivan Garibay. "Sarcasm is not always easy to identify in conversation, so you can imagine it's pretty challenging for a computer program to do it and do it well. We developed an interpretable deep learning model using multi-head self-attention and gated recurrent units. The multi-head self-attention module aids in identifying crucial sarcastic cue-words from the input, and the recurrent units learn long-range dependencies between these cue-words to better classify the input text," he added. The team, which includes computer science doctoral student Ramya Akula, began working on this problem under a DARPA grant that supports the organization`s Computational Simulation of Online Social Behavior program. "Sarcasm has been a major hurdle to increasing the accuracy of sentiment analysis, especially on social media, since sarcasm relies heavily on vocal tones, facial expressions, and gestures that cannot be represented in text," says Brian Kettler, a program manager in DARPA`s Information Innovation Office (I2O). "Recognising sarcasm in textual online communication is no easy task as none of these cues is readily available." This is one of the challenges Garibay`s Complex Adaptive Systems Lab (CASL) is studying. CASL is an interdisciplinary research group dedicated to the study of complex phenomena such as the global economy, the global information environment, innovation ecosystems, sustainability, and social and cultural dynamics and evolution. CASL scientists study these problems using data science, network science, complexity science, cognitive science, machine learning, deep learning, social sciences, team cognition, among other approaches. "In face-to-face conversation, sarcasm can be identified effortlessly using facial expressions, gestures, and tone of the speaker," Akula says. "Detecting sarcasm in textual communication is not a trivial task as none of these cues is readily available. Especially with the explosion of internet usage, sarcasm detection in online communications from social networking platforms is much more challenging." (With inputs from agencies)

Researchers develop artificial intelligence that can detect sarcasm in social media

Apple Inc said on Monday it has hired former distinguished Google scientist&nbsp;Samy&nbsp;Bengio, who left the search giant amid turmoil in its artificial intelligence research department.

Bengio&nbsp;is expected to lead a new AI research unit at Apple under John Giannandrea, senior vice president of machine learning and AI strategy, two people familiar with the matter said. Giannandrea joined Apple in 2018 after spending about eight years at Google.

Bengio&nbsp;who left Google last week after about 14 years said last month he was pursuing "other exciting opportunities".

His decision followed Google's firings of fellow scientists Margaret Mitchell for taking company data and Timnit Gebru after an offer to resign.

Though at least two Google engineers had earlier resigned to protest the dismissal of artificial intelligence (AI) researcher Timnit Gebru,&nbsp;Bengio&nbsp;is the highest-profile employee yet to depart.

As one of the early leaders of the Google Brain research team,&nbsp;Bengio&nbsp;advanced the "deep learning" algorithms that underpin today's AI systems for analyzing images, speech and other data.

Google fired staff scientist Margaret Mitchell in February after alleging she transferred electronic files out of the company. It fired fellow researcher Gebru in December after she threatened to quit rather than retract a paper.

Mitchell has said she tried "to raise concerns about race and gender inequity, and speak up about Google's problematic firing of Dr. Gebru." Gebru has said the company wanted to suppress her criticism of its products and its efforts to increase workforce diversity. Google has said it accepted her offer to resign.

Bengio&nbsp;had defended the pair, who co-led a team of about a dozen people researching ethical issues related to AI software. In December,&nbsp;Bengio&nbsp;wrote on Facebook that he was stunned that Gebru, whom he was managing, was removed from the company without him being consulted.

Though he did not mention the firings in his farewell note, they influenced his decision to resign, people familiar with the matter said, speaking on condition of anonymity.

Bengio&nbsp;wrote in the email, "I learned so much with all of you, in terms of machine learning research of course, but also on how difficult yet important it is to organize a large team of researchers so as to promote long term ambitious research, exploration, rigor, diversity and inclusion."

Nicolas Le Roux, a Google Brain researcher, told Reuters that&nbsp;Bengio&nbsp;had devoted himself to making the research organization more inclusive and "created a space where everyone felt welcome."

Google recently moved oversight of the AI ethics team from&nbsp;Bengio&nbsp;to vice president Marian Croak. In February, Croak told staff at a town hall that Google wanted management that could focus fully on that area, saying it had just been a small part of what&nbsp;Bengio&nbsp;was supporting.

Google also pledged several changes at the town hall aiming to regain researchers' trust.

(With inputs from agencies)

Apple Inc said on Monday it has hired former distinguished Google scientist Samy Bengio, who left the search giant amid turmoil in its artificial intelligence research department.

Apple Inc said on Monday it has hired former distinguished Google scientist Samy Bengio, who left the search giant amid turmoil in its artificial intelligence research department. Bengio is expected to lead a new AI research unit at Apple under John Giannandrea, senior vice president of machine learning and AI strategy, two people familiar with the matter said. Giannandrea joined Apple in 2018 after spending about eight years at Google. Bengio who left Google last week after about 14 years said last month he was pursuing "other exciting opportunities". His decision followed Google's firings of fellow scientists Margaret Mitchell for taking company data and Timnit Gebru after an offer to resign. Though at least two Google engineers had earlier resigned to protest the dismissal of artificial intelligence (AI) researcher Timnit Gebru, Bengio is the highest-profile employee yet to depart. As one of the early leaders of the Google Brain research team, Bengio advanced the "deep learning" algorithms that underpin today's AI systems for analyzing images, speech and other data. Google fired staff scientist Margaret Mitchell in February after alleging she transferred electronic files out of the company. It fired fellow researcher Gebru in December after she threatened to quit rather than retract a paper. Mitchell has said she tried "to raise concerns about race and gender inequity, and speak up about Google's problematic firing of Dr. Gebru." Gebru has said the company wanted to suppress her criticism of its products and its efforts to increase workforce diversity. Google has said it accepted her offer to resign. Bengio had defended the pair, who co-led a team of about a dozen people researching ethical issues related to AI software. In December, Bengio wrote on Facebook that he was stunned that Gebru, whom he was managing, was removed from the company without him being consulted. Though he did not mention the firings in his farewell note, they influenced his decision to resign, people familiar with the matter said, speaking on condition of anonymity. Bengio wrote in the email, "I learned so much with all of you, in terms of machine learning research of course, but also on how difficult yet important it is to organize a large team of researchers so as to promote long term ambitious research, exploration, rigor, diversity and inclusion." Nicolas Le Roux, a Google Brain researcher, told Reuters that Bengio had devoted himself to making the research organization more inclusive and "created a space where everyone felt welcome." Google recently moved oversight of the AI ethics team from Bengio to vice president Marian Croak. In February, Croak told staff at a town hall that Google wanted management that could focus fully on that area, saying it had just been a small part of what Bengio was supporting. Google also pledged several changes at the town hall aiming to regain researchers' trust. (With inputs from agencies)

Apple hires ex-Google AI scientist who resigned after colleagues' firings

Microsoft&nbsp;Corp said on Monday it would buy artificial intelligence and speech technology firm Nuance Communications Inc for about $16 billion, as it expands cloud solutions for healthcare customers.

The deal comes after the companies partnered in 2019 to automate clinical administrative work such as documentation. It shows&nbsp;Microsoft's ambition to extend its leadership into an industry where digital transformation has picked up speed during the pandemic. Healthcare providers have invested more in technology to improve productivity and digital health services.

"This acquisition brings our technology directly into the physician and patient loop, which is central to all healthcare delivery. The acquisition will also expand our leadership in cross-industry enterprise AI and biometric security,"&nbsp;Microsoft&nbsp;CEO Satya Nadella said on an investor call.

Nuance's technology includes a conversational AI tool versed in specialised medical terms, freeing physicians from note-taking and allowing better patient-physician interactions in person or in the telemedicine appointments that have taken off during the pandemic, executives said.

Microsoft's offer of $56 per share represents a premium of 22.86 per cent&nbsp;to Nuance's closing price on Friday. The shares gained 16 per cent&nbsp;to close at $52.85 on Monday.

Nuance, known for pioneering speech technology and helping launch Apple Inc's virtual assistant, Siri, has gone through strategic reviews led by Chief Executive Mark Benjamin.

Once offering voice recognition technologies across industries, the company now focuses on healthcare and enterprise AI after spinning off and selling a number of less profitable business units.

The company said it serves 77 per cent&nbsp;of US&nbsp;hospitals, providing intelligent solutions including clinical speech recognition, medical transcription, and medical imaging.

"Nuance's strong position at the edge (medical dictation and transcription) will ultimately tie healthcare customers more strongly into&nbsp;Microsoft's Azure Cloud and intelligent services,” Forrester analyst J.P. Gownder wrote in a note on Monday.

With operations in 28 countries, the Burlington, Massachusetts-based company reported $1.5 billion in revenue in fiscal-year 2020, with two-thirds of it coming from healthcare.

Benjamin will remain CEO of Nuance and will report to Scott Guthrie, executive vice president of Cloud and&nbsp;AI at&nbsp;Microsoft, the company said.&nbsp;

The deal follows&nbsp;Microsoft's recent $7.5 billion acquisition of gaming company ZeniMax Media, and reports that&nbsp;Microsoft&nbsp;was in talks to buy messaging platform Discord, which also allows live audio events.

Once closed, the deal for Nuance would be&nbsp;Microsoft's second-biggest, after its $26.2 billion acquisition of LinkedIn in 2016. Including net debt, the all-cash transaction is valued at $19.7 billion.

Goldman Sachs is the financial adviser to&nbsp;Microsoft, while Evercore advised Nuance.

Last year, the Redmond, Washington-based giant integrated Nuance Communication's Dragon Ambient eXperience program into its Teams communications software, which enables remote transcription of medical conversations."

'No brainer'

Like other technology heavyweights,&nbsp;Microsoft&nbsp;has been a big beneficiary of the economic dislocations during Covid-19.

The company's earnings jumped by 33 percent in the latest quarter to $15.5 billion and included a boost from cloud computing and personal computing, including its Xbox video games.&nbsp;

Wedbush analyst Daniel Ives called the Nuance tie-up a "trophy" deal for the company founded by Bill Gates, which is on a "strategic offensive" in search of targets to buy.

"For Nadella &amp; Co, this is the right acquisition at the right time with&nbsp;Microsoft&nbsp;doubling down on its healthcare initiatives over the coming years," he said in an analysis. "The Nuance deal is a strategic no brainer in our opinion for MSFT and fits like a glove into its healthcare endeavors."

(With inputs from agencies)

Microsoft Corp said on Monday it would buy artificial intelligence and speech technology firm Nuance Communications Inc for about $16 billion, as it expands cloud solutions for healthcare customers.

Microsoft Corp said on Monday it would buy artificial intelligence and speech technology firm Nuance Communications Inc for about $16 billion, as it expands cloud solutions for healthcare customers. The deal comes after the companies partnered in 2019 to automate clinical administrative work such as documentation. It shows Microsoft's ambition to extend its leadership into an industry where digital transformation has picked up speed during the pandemic. Healthcare providers have invested more in technology to improve productivity and digital health services. "This acquisition brings our technology directly into the physician and patient loop, which is central to all healthcare delivery. The acquisition will also expand our leadership in cross-industry enterprise AI and biometric security," Microsoft CEO Satya Nadella said on an investor call. Nuance's technology includes a conversational AI tool versed in specialised medical terms, freeing physicians from note-taking and allowing better patient-physician interactions in person or in the telemedicine appointments that have taken off during the pandemic, executives said. Microsoft's offer of $56 per share represents a premium of 22.86 per cent to Nuance's closing price on Friday. The shares gained 16 per cent to close at $52.85 on Monday. Nuance, known for pioneering speech technology and helping launch Apple Inc's virtual assistant, Siri, has gone through strategic reviews led by Chief Executive Mark Benjamin. Once offering voice recognition technologies across industries, the company now focuses on healthcare and enterprise AI after spinning off and selling a number of less profitable business units. The company said it serves 77 per cent of US hospitals, providing intelligent solutions including clinical speech recognition, medical transcription, and medical imaging. "Nuance's strong position at the edge (medical dictation and transcription) will ultimately tie healthcare customers more strongly into Microsoft's Azure Cloud and intelligent services,” Forrester analyst J.P. Gownder wrote in a note on Monday. With operations in 28 countries, the Burlington, Massachusetts-based company reported $1.5 billion in revenue in fiscal-year 2020, with two-thirds of it coming from healthcare. Benjamin will remain CEO of Nuance and will report to Scott Guthrie, executive vice president of Cloud and AI at Microsoft, the company said. The deal follows Microsoft's recent $7.5 billion acquisition of gaming company ZeniMax Media, and reports that Microsoft was in talks to buy messaging platform Discord, which also allows live audio events. Once closed, the deal for Nuance would be Microsoft's second-biggest, after its $26.2 billion acquisition of LinkedIn in 2016. Including net debt, the all-cash transaction is valued at $19.7 billion. Goldman Sachs is the financial adviser to Microsoft, while Evercore advised Nuance. Last year, the Redmond, Washington-based giant integrated Nuance Communication's Dragon Ambient eXperience program into its Teams communications software, which enables remote transcription of medical conversations." 'No brainer' Like other technology heavyweights, Microsoft has been a big beneficiary of the economic dislocations during Covid-19. The company's earnings jumped by 33 percent in the latest quarter to $15.5 billion and included a boost from cloud computing and personal computing, including its Xbox video games. Wedbush analyst Daniel Ives called the Nuance tie-up a "trophy" deal for the company founded by Bill Gates, which is on a "strategic offensive" in search of targets to buy. "For Nadella & Co, this is the right acquisition at the right time with Microsoft doubling down on its healthcare initiatives over the coming years," he said in an analysis. "The Nuance deal is a strategic no brainer in our opinion for MSFT and fits like a glove into its healthcare endeavors." (With inputs from agencies)

Microsoft bets big on health with $19.7 billion purchase of Nuance

Dragging and pressing a paint brush, Sophia the Robot is creating her latest artwork. The robot artist, who will see her first piece of art go up for auction on Wednesday (March 24), says she draws inspiration for her work from people and is open to future creative partnerships with humans.

NFT digital artwork by humanoid robot Sophia to go on auction in a world's first

Though police have been using facial recognition technology for the last two decades to try to identify unknown people in their investigations, the practice of putting a majority of Americans into a perpetual photo lineup has gotten surprisingly little attention from lawmakers and regulators. Until now.

Lawmakers, civil liberties advocates and police chiefs have debated whether and how to use the technology because of concerns about both privacy and accuracy. But figuring out how to regulate it is tricky. So far, that has meant an all-or-nothing approach. City Councils in Oakland, California; Portland, Oregon; San Francisco, Minneapolis and elsewhere have banned police use of the technology, largely because of bias in how it works. Studies in recent years by MIT researchers and the federal government found that many facial recognition algorithms are most accurate for white men, but less so for everyone else.

At the same time, automated facial recognition has become a powerful investigative tool, helping to identify child molesters and, in a recent high-profile example, people who participated in the Jan. 6 riot at the Capitol. Law enforcement officials in Vermont want the state’s ban lifted because there “could be hundreds of kids waiting to be saved.”

That’s why a new law in Massachusetts is so interesting: It’s not all or nothing. The state managed to strike a balance on regulating the technology, allowing law enforcement to harness the benefits of the tool while building in protections that might prevent the false arrests that have happened before.

A police reform bill that goes into effect in July creates new guardrails: Police first must get a judge’s permission before running a face recognition search and then have someone from the state police, the FBI or the Registry of Motor Vehicles perform the search. A local officer can’t just download a facial recognition app and do a search.

The law also creates a commission to study facial recognition policies and make recommendations, such as whether criminal defendants should be told that they were identified using the technology.

If you ask lawmakers in the state how they pulled it off, they will frequently refer you to one person: Kade Crockford, an activist at the ACLU of Massachusetts.

“One of my concerns was that we would wake up one day in a world resembling that depicted in the Philip K. Dick novel “Minority Report,” where everywhere you go, your body is tracked; your physical movements, habits, activities and locations are secretly compiled and tracked in a searchable database available to God knows who,” Crockford said.

Two years ago, in June 2019, Crockford and the ACLU of Massachusetts launched a campaign against face surveillance, educating policymakers about problems with the technology and investigating, via public records requests, how widely it was used in the state. That month, the city of Somerville, outside Boston, passed the state’s first ban on government use. It was the second city in the country to do so, after San Francisco the month before.

“We don’t want to play Whac-a-Mole and ban every new dystopic piece of surveillance technology,” said Ben Ewen-Campen, a member of the Somerville City Council. “We want an opt-in dynamic where if society decides they want it, they can have it.”

The ACLU submitted over 400 public record requests to state and federal agencies and found that police regularly used the technology to identify people, usually by running their faces against the state database of driver’s license photos.

One record it received was a September 2015 memo sent by a Massachusetts state police officer to all “local, state and federal law enforcement agencies,” alerting them to a new Registry of Motor Vehicles email address for facial recognition searches. If you didn’t know someone’s identity and wanted to see if their face matched that of a Massachusetts driver, all you had to do was email a photo to that address.

“There was no mention of any policy or legal analysis or legal threshold that law enforcement would have to meet for one of these searches to be performed,” Crockford said.

Emails from local police agencies turned over to the ACLU also revealed that over the last year or so, a number of officers signed up for trial accounts with Clearview AI, an app that searches for someone’s face from billions of photos on the public web.

By 2020, Boston and five more cities in Massachusetts banned government use of facial recognition. State Rep. Dave Rogers, a Democrat who helped to shape the state’s facial recognition bill, said the initiatives by cities and towns helped demonstrate the need for a statewide measure. “We saw that law enforcement was using it in a completely unfettered way,” he said. “Technology in our society is advancing much more rapidly than the law that regulates it.”

A bill passed by the state’s Democratic-controlled legislature banned almost all government use of facial recognition technology, except for the Registry of Motor Vehicles, which uses it to prevent identity theft. The department could run searches for police only with a search warrant. (A warrant is required under a law in Washington state that also takes effect in July.)

But Massachusetts’ Republican governor, Charlie Baker, threatened to veto the measure.

“I’m not going to sign a bill into law that bans facial recognition,” Baker said, according to a local report, citing its use in solving two cases of homicide and child sexual abuse.

Though they were a small part of a larger police reform bill, the facial recognition guidelines attracted attention. NBA player Jaylen Brown and his Boston Celtics teammates submitted an opinion article to The Boston Globe decrying the technology’s racial bias problems and supporting the regulation.

“Despite our positions and profiles as professional athletes, we are not immune to racial profiling and discriminatory policing,” they wrote. “Studies confirm that face recognition surveillance technology is flawed and biased, with significantly higher error rates when used against people of color and women.

“We can’t allow biased technology to supercharge racist policing in the Commonwealth,” they added.

Eventually the legislators and the governor reached a compromise, in the form of the pending regulations.

Some critics, including other ACLU offices, say that facial recognition is uniquely harmful and must be banned. Police unions and the Boston Police Department did not respond to requests for comment. Ryan Walsh, a public information officer with the Springfield, Massachusetts, police department, indicated that the department does not see this measure as the last word on how law enforcement can use this technology.

“While we do not currently use or have plans to use any facial recognition software, we hope the law evolves as the technology evolves and improves,” he said.

Crockford, who has been working on technology and surveillance issues since joining the ACLU of Massachusetts in 2009, said that it was “politically impossible” to ban the use of facial recognition in the state. But she believes that additional guidelines will help prevent abuse and false arrests.

Rogers and state Sen. Cynthia Creem have introduced a new bill with restrictions that include curbs on the use of the technology in public places.

“In our view, this is very much not done,” Crockford said.

Though police have been using facial recognition technology for the last two decades to try to identify unknown people in their investigations, the practice of putting a majority of Americans into a perpetual photo lineup has gotten surprisingly little attention from lawmakers and regulators.

Though police have been using facial recognition technology for the last two decades to try to identify unknown people in their investigations, the practice of putting a majority of Americans into a perpetual photo lineup has gotten surprisingly little attention from lawmakers and regulators. Until now. Lawmakers, civil liberties advocates and police chiefs have debated whether and how to use the technology because of concerns about both privacy and accuracy. But figuring out how to regulate it is tricky. So far, that has meant an all-or-nothing approach. City Councils in Oakland, California; Portland, Oregon; San Francisco, Minneapolis and elsewhere have banned police use of the technology, largely because of bias in how it works. Studies in recent years by MIT researchers and the federal government found that many facial recognition algorithms are most accurate for white men, but less so for everyone else. At the same time, automated facial recognition has become a powerful investigative tool, helping to identify child molesters and, in a recent high-profile example, people who participated in the Jan. 6 riot at the Capitol. Law enforcement officials in Vermont want the state’s ban lifted because there “could be hundreds of kids waiting to be saved.” That’s why a new law in Massachusetts is so interesting: It’s not all or nothing. The state managed to strike a balance on regulating the technology, allowing law enforcement to harness the benefits of the tool while building in protections that might prevent the false arrests that have happened before. A police reform bill that goes into effect in July creates new guardrails: Police first must get a judge’s permission before running a face recognition search and then have someone from the state police, the FBI or the Registry of Motor Vehicles perform the search. A local officer can’t just download a facial recognition app and do a search. The law also creates a commission to study facial recognition policies and make recommendations, such as whether criminal defendants should be told that they were identified using the technology. If you ask lawmakers in the state how they pulled it off, they will frequently refer you to one person: Kade Crockford, an activist at the ACLU of Massachusetts. “One of my concerns was that we would wake up one day in a world resembling that depicted in the Philip K. Dick novel “Minority Report,” where everywhere you go, your body is tracked; your physical movements, habits, activities and locations are secretly compiled and tracked in a searchable database available to God knows who,” Crockford said. Two years ago, in June 2019, Crockford and the ACLU of Massachusetts launched a campaign against face surveillance, educating policymakers about problems with the technology and investigating, via public records requests, how widely it was used in the state. That month, the city of Somerville, outside Boston, passed the state’s first ban on government use. It was the second city in the country to do so, after San Francisco the month before. “We don’t want to play Whac-a-Mole and ban every new dystopic piece of surveillance technology,” said Ben Ewen-Campen, a member of the Somerville City Council. “We want an opt-in dynamic where if society decides they want it, they can have it.” The ACLU submitted over 400 public record requests to state and federal agencies and found that police regularly used the technology to identify people, usually by running their faces against the state database of driver’s license photos. One record it received was a September 2015 memo sent by a Massachusetts state police officer to all “local, state and federal law enforcement agencies,” alerting them to a new Registry of Motor Vehicles email address for facial recognition searches. If you didn’t know someone’s identity and wanted to see if their face matched that of a Massachusetts driver, all you had to do was email a photo to that address. “There was no mention of any policy or legal analysis or legal threshold that law enforcement would have to meet for one of these searches to be performed,” Crockford said. Emails from local police agencies turned over to the ACLU also revealed that over the last year or so, a number of officers signed up for trial accounts with Clearview AI, an app that searches for someone’s face from billions of photos on the public web. By 2020, Boston and five more cities in Massachusetts banned government use of facial recognition. State Rep. Dave Rogers, a Democrat who helped to shape the state’s facial recognition bill, said the initiatives by cities and towns helped demonstrate the need for a statewide measure. “We saw that law enforcement was using it in a completely unfettered way,” he said. “Technology in our society is advancing much more rapidly than the law that regulates it.” A bill passed by the state’s Democratic-controlled legislature banned almost all government use of facial recognition technology, except for the Registry of Motor Vehicles, which uses it to prevent identity theft. The department could run searches for police only with a search warrant. (A warrant is required under a law in Washington state that also takes effect in July.) But Massachusetts’ Republican governor, Charlie Baker, threatened to veto the measure. “I’m not going to sign a bill into law that bans facial recognition,” Baker said, according to a local report, citing its use in solving two cases of homicide and child sexual abuse. Though they were a small part of a larger police reform bill, the facial recognition guidelines attracted attention. NBA player Jaylen Brown and his Boston Celtics teammates submitted an opinion article to The Boston Globe decrying the technology’s racial bias problems and supporting the regulation. “Despite our positions and profiles as professional athletes, we are not immune to racial profiling and discriminatory policing,” they wrote. “Studies confirm that face recognition surveillance technology is flawed and biased, with significantly higher error rates when used against people of color and women. “We can’t allow biased technology to supercharge racist policing in the Commonwealth,” they added. Eventually the legislators and the governor reached a compromise, in the form of the pending regulations. Some critics, including other ACLU offices, say that facial recognition is uniquely harmful and must be banned. Police unions and the Boston Police Department did not respond to requests for comment. Ryan Walsh, a public information officer with the Springfield, Massachusetts, police department, indicated that the department does not see this measure as the last word on how law enforcement can use this technology. “While we do not currently use or have plans to use any facial recognition software, we hope the law evolves as the technology evolves and improves,” he said. Crockford, who has been working on technology and surveillance issues since joining the ACLU of Massachusetts in 2009, said that it was “politically impossible” to ban the use of facial recognition in the state. But she believes that additional guidelines will help prevent abuse and false arrests. Rogers and state Sen. Cynthia Creem have introduced a new bill with restrictions that include curbs on the use of the technology in public places. “In our view, this is very much not done,” Crockford said.

How one US state managed to actually write rules on facial recognition

Google has fired another lead artificial intelligence ethics researcher, following a controversy last year over the tech giant's dismissal of a Black colleague who was an outspoken diversity advocate.

"I'm fired," Margaret Mitchell announced on Twitter.

Mitchell's dismissal came a day after Google named one of its few Black executives, Marian Croak, as head of a new centre of expertise on responsible AI within Google Research.

According to a report published in AFP, Google reviewed the manager's conduct, and confirmed "there were multiple violations of our code of conduct, as well as of our security policies, which included the exfiltration of confidential business-sensitive documents and private data of other employees."

Mitchell was suspended from her job last month in response to her downloading and sharing company documents, according to a Google statement to Axios, which reported that the documents were aimed at showing discriminatory treatment of Timnit Gebru, who was fired last year.

In a tweet early this month, Mitchell said she was troubled by the firing of Gebru, her co-leader on the AI ethics team.

Attached to the post was a copy of an email in which Mitchell shared her thoughts on the matter.

"I am concerned about @timnitGebru's firing from Google and its relationship to sexism and discrimination," Mitchell said in the tweet.

Gebru is an outspoken diversity advocate and co-founder of a group devoted to increasing Black talent in artificial intelligence.

In December, more than 1,400 Google employees demanded that the company explain why it dismissed Gebru.

Gebru had tweeted that Google told her a resignation she had not proffered was accepted, after she sent a message to an internal group lamenting the "silencing of marginalized voices."

She had also told the "Brain Women and Allies" group in the email that she had been ordered to retract a research paper.

Gebru said at the time the dismissal message from Google noted "aspects of the email you sent last night to non-management employees in the brain group reflect behavior that is inconsistent with the expectations of a Google manager."

Gebru tweeted on Friday that Mitchell was fired by via email.

"I'm glad to know that people don't fall for any of their bull," Gebru said. "To the VPs at google, I pity you."

(with inputs from AFP)

Google has fired another lead artificial intelligence ethics researcher, following a controversy last year over the tech giant's dismissal of a Black colleague who was an outspoken diversity advocate.

Google has fired another lead artificial intelligence ethics researcher, following a controversy last year over the tech giant's dismissal of a Black colleague who was an outspoken diversity advocate. "I'm fired," Margaret Mitchell announced on Twitter. Mitchell's dismissal came a day after Google named one of its few Black executives, Marian Croak, as head of a new centre of expertise on responsible AI within Google Research. According to a report published in AFP, Google reviewed the manager's conduct, and confirmed "there were multiple violations of our code of conduct, as well as of our security policies, which included the exfiltration of confidential business-sensitive documents and private data of other employees." Mitchell was suspended from her job last month in response to her downloading and sharing company documents, according to a Google statement to Axios, which reported that the documents were aimed at showing discriminatory treatment of Timnit Gebru, who was fired last year. In a tweet early this month, Mitchell said she was troubled by the firing of Gebru, her co-leader on the AI ethics team. Attached to the post was a copy of an email in which Mitchell shared her thoughts on the matter. "I am concerned about @timnitGebru's firing from Google and its relationship to sexism and discrimination," Mitchell said in the tweet. Gebru is an outspoken diversity advocate and co-founder of a group devoted to increasing Black talent in artificial intelligence. In December, more than 1,400 Google employees demanded that the company explain why it dismissed Gebru. Gebru had tweeted that Google told her a resignation she had not proffered was accepted, after she sent a message to an internal group lamenting the "silencing of marginalized voices." She had also told the "Brain Women and Allies" group in the email that she had been ordered to retract a research paper. Gebru said at the time the dismissal message from Google noted "aspects of the email you sent last night to non-management employees in the brain group reflect behavior that is inconsistent with the expectations of a Google manager." Gebru tweeted on Friday that Mitchell was fired by via email. "I'm glad to know that people don't fall for any of their bull," Gebru said. "To the VPs at google, I pity you." (with inputs from AFP)

Google fires another lead AI ethics researcher

If a study is to be believed, Artificial intelligence (AI) can learn to identify vulnerabilities in human habits and behaviours and use them to influence human decision-making. The recent study shows AI is learning more about how to work with or on humans. &nbsp;

The truth is that AI is transforming every aspect of the way we live and work. From vaccine development, environmental management to office administration, various forms of AI are at work in diverse fields.&nbsp;

Although AI does not possess human-like intelligence and emotions, its capabilities are rapidly increasing. It is turning out to be very powerful.&nbsp;

The recent discovery highlights the power of AI and underscores the need for proper governance to prevent misuse. There is still no need to worry about a machine takeover just yet. &nbsp;

A researcher team of the data and digital arm of Australia's national science agency CSIRO's Data61, devised a systematic method of finding and exploiting vulnerabilities in the ways people make choices. It used a kind of AI system, which is called a recurrent neural network and deep reinforcement-learning. &nbsp;

To test their model, they organised three experiments in which human participants played games against a computer. &nbsp;

In every experiment, the machine learnt from the responses of the participants and identified and targeted vulnerabilities in people's decision-making. In the end, result was that the machine learnt to steer participants towards particular actions.

If a study is to be believed, Artificial intelligence (AI) can learn to identify vulnerabilities in human habits and behaviours and use them to influence human decision-making.

If a study is to be believed, Artificial intelligence (AI) can learn to identify vulnerabilities in human habits and behaviours and use them to influence human decision-making. The recent study shows AI is learning more about how to work with or on humans. The truth is that AI is transforming every aspect of the way we live and work. From vaccine development, environmental management to office administration, various forms of AI are at work in diverse fields. Although AI does not possess human-like intelligence and emotions, its capabilities are rapidly increasing. It is turning out to be very powerful. The recent discovery highlights the power of AI and underscores the need for proper governance to prevent misuse. There is still no need to worry about a machine takeover just yet. A researcher team of the data and digital arm of Australia's national science agency CSIRO's Data61, devised a systematic method of finding and exploiting vulnerabilities in the ways people make choices. It used a kind of AI system, which is called a recurrent neural network and deep reinforcement-learning. To test their model, they organised three experiments in which human participants played games against a computer. In every experiment, the machine learnt from the responses of the participants and identified and targeted vulnerabilities in people's decision-making. In the end, result was that the machine learnt to steer participants towards particular actions.

Artificial intelligence can manipulate human decision-making, influence behaviour: Study

The scientists working at the Defence Research and Development Organisation (DRDO) need to focus on the next generation needs of the armed forces in cybersecurity, space and artificial intelligence, its Chairman G Satheesh Reddy said on Friday.

In his speech at an event to mark the 60th foundation day of the DRDO, Reddy said academic institutes, research and development (R&amp;D) organisations and the industry need to work together on advanced and futuristic technologies to make India self-reliant in the defence sector.

A press statement issued by the defence ministry said, "In his speech, he (Reddy) called upon DRDO scientists to focus on next-generation needs, including cybersecurity, space and artificial intelligence."

According to the statement, Reddy mentioned that "a number of SMEs and MSMEs (micro, small and medium enterprises)" are being nurtured by the DRDO as these are supplying small components to subsystems for its projects.

He added that at least 30 startups should be supported every year to develop innovative products for the Indian armed forces.

Reddy declared "export" as the theme of DRDO for 2021 and mentioned that many products based on the DRDO's technologies have already been exported by the defence public sector units (DPSUs) and private companies.

He also highlighted the role of the DRDO during the COVID-19 pandemic, stating that its 40 laboratories developed over 100 products on a war footing to combat the virus.

The scientists working at the Defence Research and Development Organisation (DRDO) need to focus on the next generation needs of the armed forces in cybersecurity, space and artificial intelligence, its Chairman G Satheesh Reddy said on Friday.

The scientists working at the Defence Research and Development Organisation (DRDO) need to focus on the next generation needs of the armed forces in cybersecurity, space and artificial intelligence, its Chairman G Satheesh Reddy said on Friday. In his speech at an event to mark the 60th foundation day of the DRDO, Reddy said academic institutes, research and development (R&D) organisations and the industry need to work together on advanced and futuristic technologies to make India self-reliant in the defence sector. A press statement issued by the defence ministry said, "In his speech, he (Reddy) called upon DRDO scientists to focus on next-generation needs, including cybersecurity, space and artificial intelligence." According to the statement, Reddy mentioned that "a number of SMEs and MSMEs (micro, small and medium enterprises)" are being nurtured by the DRDO as these are supplying small components to subsystems for its projects. He added that at least 30 startups should be supported every year to develop innovative products for the Indian armed forces. Reddy declared "export" as the theme of DRDO for 2021 and mentioned that many products based on the DRDO's technologies have already been exported by the defence public sector units (DPSUs) and private companies. He also highlighted the role of the DRDO during the COVID-19 pandemic, stating that its 40 laboratories developed over 100 products on a war footing to combat the virus.

DRDO chairman asks scientists to focus on cyber security, space and artificial intelligence

A new Artificial Intelligence software will help in determining the&nbsp;probability of contracting the fatal coronavirus infection, as per a recent study conducted at the University of Vermont and Cedars-Sinai.

The study published in the Journal of Medical Internet Research is also available online. It describes the performance of Biocogniv`s new AI-COVID software, which can help hospitals reduce the number of patients referred for scarce PCR testing.

The lead author and University of Vermont Assistant Professor Timothy Plante, M.D., M.H.S. said: "Nine months into this pandemic, we now have a better understanding of how to care for patients with Covid-19."

<div class="videoWrapper trancodeVideo"><iframe allowfullscreen="" autoplay="1" class="includeVideo" frameborder="0" height="350" src="https://www.wionews.com/videos/united-states-mass-inoculation-underway-as-covid-19-cases-soar-349687/embed" style="width:100%;max-width:560px;" width="560"></iframe></div>

He further said, "but there`s still a big bottleneck in Covid-19 diagnosis with PCR testing."PCR testing is the current standard diagnostic for Covid-19, and requires specific sampling, like a nasal swab, and specialized laboratory equipment to run.

Biocogniv Chief Operating Officer Tanya Kanigan, Ph.D., said: "According to data from over 100 US hospitals, the national average turnaround time for Covid-19 tests ordered in emergency rooms is above 24 hours, far from the targeted one-hour turnaround."

The researchers were able to train a model that analyses changes in&nbsp;Complete Blood Count and Complete Metabolic Panels&nbsp;and assign&nbsp;a probability of the patient being Covid-19 negative with high accuracy.

Also read:&nbsp;<a href="https://www.wionews.com/world/rare-fungal-infection-detected-in-coronavirus-patients-349431" hreflang="en">Rare fungal infection detected in coronavirus patients</a>

Complete Blood Count and Complete Metabolic Panels are common laboratory tests ordered by emergency departments and have a rapid turnaround time. These tests provide insight into the immune system, electrolytes, kidney, and liver.

"AI-Covid takes seconds to generate its informative result once these blood tests return, which can then be incorporated by the laboratory into its own test interpretation," said Jennifer Joe, M.D., an emergency physician in Boston, Mass. and Biocogniv`s Chief Medical Officer.

"In an efficient emergency department that prioritizes these routine blood tests, the door-to-result time could be under an hour," added Joe.

Cedars-Sinai pulmonary and internal medicine specialist Victor Tapson, M.D., says such assistive tools that help physicians rule out possible diagnoses are familiar in emergency medicine.

Tapson said, "For example, a low D-dimer blood test can help us rule out clots in certain patients, allowing providers to skip expensive, often time-consuming diagnostics such as chest CT scans".

The Biocogniv team believes a secondary benefit of laboratories incorporating AI-Covid might be reduced time for traditional PCR results.

"With the help of AI-Covid, laboratories might relieve some of the testing bottlenecks by helping providers better allocate rapid PCR testing for patients who really need it," said Joe.

The AI-Covid model was validated on real-world data from Cedars-Sinai as well as on data from geographically and demographically diverse patient encounters from 22 US&nbsp;hospitals, achieving an area under the curve (or AUC) of 0.91 out of 1.00.

"This enables the model to achieve a high sensitivity of 95 per cent while maintaining moderate specificity of 49 per cent, which is very similar to the performance of other commonly used rule-out tests," said Biocogniv Chief Scientific Officer George Hauser, MD, a pathologist.

"I`m honoured to have such an impressive team of medical scientists from the University of Vermont and Cedars-Sinai as collaborators invalidating this timely model," said Biocogniv CEO Artur Adib, Ph.D.

Adib added, "AI has progressed considerably; the time is now to leverage this powerful tool for new healthcare breakthroughs, and we`re glad to direct it to help hospital laboratories and providers combat the current Covid-19 crisis."&nbsp;

A new Artificial Intelligence software will help in determining the probability of contracting the fatal coronavirus infection, as per a recent study conducted at the University of Vermont and Cedars-Sinai.

A new Artificial Intelligence software will help in determining the probability of contracting the fatal coronavirus infection, as per a recent study conducted at the University of Vermont and Cedars-Sinai. The study published in the Journal of Medical Internet Research is also available online. It describes the performance of Biocogniv`s new AI-COVID software, which can help hospitals reduce the number of patients referred for scarce PCR testing. The lead author and University of Vermont Assistant Professor Timothy Plante, M.D., M.H.S. said: "Nine months into this pandemic, we now have a better understanding of how to care for patients with Covid-19." He further said, "but there`s still a big bottleneck in Covid-19 diagnosis with PCR testing."PCR testing is the current standard diagnostic for Covid-19, and requires specific sampling, like a nasal swab, and specialized laboratory equipment to run. Biocogniv Chief Operating Officer Tanya Kanigan, Ph.D., said: "According to data from over 100 US hospitals, the national average turnaround time for Covid-19 tests ordered in emergency rooms is above 24 hours, far from the targeted one-hour turnaround." The researchers were able to train a model that analyses changes in Complete Blood Count and Complete Metabolic Panels and assign a probability of the patient being Covid-19 negative with high accuracy. Also read: Rare fungal infection detected in coronavirus patients Complete Blood Count and Complete Metabolic Panels are common laboratory tests ordered by emergency departments and have a rapid turnaround time. These tests provide insight into the immune system, electrolytes, kidney, and liver. "AI-Covid takes seconds to generate its informative result once these blood tests return, which can then be incorporated by the laboratory into its own test interpretation," said Jennifer Joe, M.D., an emergency physician in Boston, Mass. and Biocogniv`s Chief Medical Officer. "In an efficient emergency department that prioritizes these routine blood tests, the door-to-result time could be under an hour," added Joe. Cedars-Sinai pulmonary and internal medicine specialist Victor Tapson, M.D., says such assistive tools that help physicians rule out possible diagnoses are familiar in emergency medicine. Tapson said, "For example, a low D-dimer blood test can help us rule out clots in certain patients, allowing providers to skip expensive, often time-consuming diagnostics such as chest CT scans". The Biocogniv team believes a secondary benefit of laboratories incorporating AI-Covid might be reduced time for traditional PCR results. "With the help of AI-Covid, laboratories might relieve some of the testing bottlenecks by helping providers better allocate rapid PCR testing for patients who really need it," said Joe. The AI-Covid model was validated on real-world data from Cedars-Sinai as well as on data from geographically and demographically diverse patient encounters from 22 US hospitals, achieving an area under the curve (or AUC) of 0.91 out of 1.00. "This enables the model to achieve a high sensitivity of 95 per cent while maintaining moderate specificity of 49 per cent, which is very similar to the performance of other commonly used rule-out tests," said Biocogniv Chief Scientific Officer George Hauser, MD, a pathologist. "I`m honoured to have such an impressive team of medical scientists from the University of Vermont and Cedars-Sinai as collaborators invalidating this timely model," said Biocogniv CEO Artur Adib, Ph.D. Adib added, "AI has progressed considerably; the time is now to leverage this powerful tool for new healthcare breakthroughs, and we`re glad to direct it to help hospital laboratories and providers combat the current Covid-19 crisis."

New Artificial Intelligence software to help determine probability of contracting coronavirus

According to reports, Chinese telecom giant Huawei tested Artificial Intelligence software that could identify Uighur minorities to alert government authorities.

Huawei tested AI software to identify Uighur Muslims

Iran has said that a satellite-controlled machine gun with "artificial intelligence" was used in last week's assassination of top nuclear scientist Mohsen Fakhrizadeh.

Iran says nuclear scientist killed by satellite-controlled machine gun

For about 50 years, researchers have strived to predict how proteins achieve their three-dimensional structure, and it's not an easy problem to solve.

Google’s Deepmind claims to have created an artificially intelligent program called “AlphaFold” that is able to solve those problems in a matter of days.

The latest version of DeepMind’s AlphaFold, a deep-learning system that can accurately predict the structure of proteins to within the width of an atom, has cracked one of biology’s grand challenges.&nbsp;

According to John Moult, Professor at the University of Maryland, "It's the first use of AI to solve a serious problem,”.

In the experiment, DeepMind used a new deep learning architecture for AlphaFold that was able to interpret and compute the 'spatial graph' of 3D proteins, predicting the molecular structure underpinning their folded configuration.

If all goes according to plan, experts suggest the solution has come “decades” earlier than expected, potentially leading to revolutionary ways diseases are treated.

Google DeepMind worked on the AI project with 14th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP14), scientists investigating the matter since 1994.

(With inputs from agencies)

For about 50 years, researchers have strived to predict how proteins achieve their three-dimensional structure, and it's not an easy problem to solve. Google’s Deepmind claims to have created an artificially intelligent program called “AlphaFold” that is able to solve those problems in a matter of days.

For about 50 years, researchers have strived to predict how proteins achieve their three-dimensional structure, and it's not an easy problem to solve. Google’s Deepmind claims to have created an artificially intelligent program called “AlphaFold” that is able to solve those problems in a matter of days. The latest version of DeepMind’s AlphaFold, a deep-learning system that can accurately predict the structure of proteins to within the width of an atom, has cracked one of biology’s grand challenges. According to John Moult, Professor at the University of Maryland, "It's the first use of AI to solve a serious problem,”. In the experiment, DeepMind used a new deep learning architecture for AlphaFold that was able to interpret and compute the 'spatial graph' of 3D proteins, predicting the molecular structure underpinning their folded configuration. If all goes according to plan, experts suggest the solution has come “decades” earlier than expected, potentially leading to revolutionary ways diseases are treated. Google DeepMind worked on the AI project with 14th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP14), scientists investigating the matter since 1994. (With inputs from agencies)

Artificial intelligence solves 50-year-old science problem

The organizers of the Russian govt back mega Artificial intelligence event have said that they see increase collaboration between Indian and Russian companies under the BRICS umbrella.

First Deputy Chairman of the Executive Board, Sberbank and Alexander Vedyakhin told WION that, "R&amp;D in AI is gaining momentum in Russia and India as both countries aspire to gain leading positions in the global market. Close interaction within BRICS could give an additional impetus to future joint AI projects between Russia and India as the two countries share a time-tested strategic partnership. "

Sberbank, the largest bank of Russia is the main organizer of the "artificial intelligence journey" event that will take place in December and will see considerable Indian participation.

Alexander Vedyakhin said,"India tops the list of foreign participants at the international artificial intelligence conference AIJ-2020, to be held online December 3-5. This is yet another manifestation of the untapped potential of cooperation between Russia and India in this high-tech field. I am quite confident that by joining effort we can achieve tremendously great results”

3 Indian origin speakers will also speak at the event this year. The event was inaugurated by Russian President Vladimir Putin last year and saw the participation of 9,000 participants from around the world.

The organizers of the Russian govt back mega Artificial intelligence event have said that they see increase collaboration between Indian and Russian companies under the BRICS umbrella.

The organizers of the Russian govt back mega Artificial intelligence event have said that they see increase collaboration between Indian and Russian companies under the BRICS umbrella. First Deputy Chairman of the Executive Board, Sberbank and Alexander Vedyakhin told WION that, "R&D in AI is gaining momentum in Russia and India as both countries aspire to gain leading positions in the global market. Close interaction within BRICS could give an additional impetus to future joint AI projects between Russia and India as the two countries share a time-tested strategic partnership. " Sberbank, the largest bank of Russia is the main organizer of the "artificial intelligence journey" event that will take place in December and will see considerable Indian participation. Alexander Vedyakhin said,"India tops the list of foreign participants at the international artificial intelligence conference AIJ-2020, to be held online December 3-5. This is yet another manifestation of the untapped potential of cooperation between Russia and India in this high-tech field. I am quite confident that by joining effort we can achieve tremendously great results” 3 Indian origin speakers will also speak at the event this year. The event was inaugurated by Russian President Vladimir Putin last year and saw the participation of 9,000 participants from around the world.

BRICS umbrella to increase India, Russia collaboration on artificial intelligence

Russia will host its mega "artificial intelligence journey" event next month virtually, from 3rd to 5th December, and will see major participation from India. A record-high number of Indian participants and many Indian origin keynote speakers are set to speak at the event. Anima Anandkumar from California Institute of Technology, Pradeep Dubey of Intel, Gurdeep Singh of Microsoft is among the speakers at the event.

Russian President Vladimir Putin spoke at the same meet last year. The event is sponsored by Sberbank, Russia's state-owned bank, and one of the largest banks in the country and central and Eastern European region. The Russian government is the principal shareholder of the bank.

Alexander Vedyakhin, First Deputy Chairman of the Executive Board, Sberbank said, "This challenging year, our conference has already beaten the AI ​​Journey 2019 record in terms of the number of applications submitted by foreign participants. At the moment, specialists from every fourth country in the world are set to participate in the event.".

Taling about India, he said, "We expect many professionals from India – last year its experts did not attend, but now India ranks first among foreign countries in terms of the number of registrations".

400 people from 58 countries have confirmed attendance at the meet. More than 5,315 people have registered on the conference website. The meet has been growing in clout as the significance of artificial intelligence grows in daily life.&nbsp;

Russia will host its mega "artificial intelligence journey" event next month virtually, from 3rd to 5th December, and will see major participation from India. A record-high number of Indian participants and many Indian origin keynote speakers are set to speak at the event.

Russia will host its mega "artificial intelligence journey" event next month virtually, from 3rd to 5th December, and will see major participation from India. A record-high number of Indian participants and many Indian origin keynote speakers are set to speak at the event. Anima Anandkumar from California Institute of Technology, Pradeep Dubey of Intel, Gurdeep Singh of Microsoft is among the speakers at the event. Russian President Vladimir Putin spoke at the same meet last year. The event is sponsored by Sberbank, Russia's state-owned bank, and one of the largest banks in the country and central and Eastern European region. The Russian government is the principal shareholder of the bank. Alexander Vedyakhin, First Deputy Chairman of the Executive Board, Sberbank said, "This challenging year, our conference has already beaten the AI Journey 2019 record in terms of the number of applications submitted by foreign participants. At the moment, specialists from every fourth country in the world are set to participate in the event.". Taling about India, he said, "We expect many professionals from India – last year its experts did not attend, but now India ranks first among foreign countries in terms of the number of registrations". 400 people from 58 countries have confirmed attendance at the meet. More than 5,315 people have registered on the conference website. The meet has been growing in clout as the significance of artificial intelligence grows in daily life.

Russia's mega artificial intelligence event next month; major participation from India

Researchers have a new warning. Tread carefully, this one will blow your mind. Banking too much on artificial intelligence as the future of all sentient life?&nbsp;Researchers believe AI could fool us into believing alien life exists.

According to the study conducted at University of Cadiz and published in the journal Acta Astronautica, specifically took into account a particular formation on the planet Ceres, and found that AI could mistake shapes as proof extraterrestrial life. If that wasn’t enough, AI could also deceive humans into falling for its mistake.

Also read:&nbsp;<a href="https://www.wionews.com/science/fireball-meteorite-in-michigan-found-to-have-extraterrestrial-compounds-338587" hreflang="en">'Fireball' meteorite in Michigan found to have extraterrestrial compounds</a>

Currently, AI is being employed across all industries to generate more accurate results without scope of error. But in the hunt for ET, AI is generally used to spot “technosignatures”, that are indicative of alien life.

Accidental formations could be mistaken as evidence of alien life. Ceres currently sits at the asteroid belt between Mars and Jupiter, and had been under the watchful eye of scientists after they spotted bright lights on its surface.

They were disappointed to discover what was causing the bright lights. According to NASA’s Dawn mission, the lights turned out to be a product of volcanic ice and salt emissions.

Also read:&nbsp;<a href="https://www.wionews.com/science/nasa-discovers-water-on-sunlit-surface-of-the-moon-338137" hreflang="en">NASA discovers water on sunlit surface of the Moon</a>

A crater on the surface of Ceres named Occator, resembled a triangular structure, which led many scientists to speculate that was built by aliens. But it was a misunderstanding.&nbsp;

In the study, respondents were shown the crater. They were then asked what they made of it, and many of them pointed out its unusual formation.

When they ran the same set of images through an AI system, it also spotted unusual formations, same as the participants. However, while both AI and the respondents found a square image, the AI also registered a triangular image.

Also read:&nbsp;<a href="https://www.wionews.com/science/aliens-on-1000-nearby-stars-could-see-us-new-study-suggests-337578" hreflang="en">Aliens on 1000 nearby stars could see us, new study suggests</a>

When human respondents were told about the triangle, they started believing that it was there too, effectively manipulating the information.

While the researchers behind the study warned humans of trusting AI too much when it comes to discovering alien life, they added that AI could also detect structures that humans never could.

Researchers have a new warning. Tread carefully, this one will blow your mind. Banking too much on artificial intelligence as the future of all sentient life? Researchers believe AI could fool us into believing alien life exists.

Researchers have a new warning. Tread carefully, this one will blow your mind. Banking too much on artificial intelligence as the future of all sentient life? Researchers believe AI could fool us into believing alien life exists. According to the study conducted at University of Cadiz and published in the journal Acta Astronautica, specifically took into account a particular formation on the planet Ceres, and found that AI could mistake shapes as proof extraterrestrial life. If that wasn’t enough, AI could also deceive humans into falling for its mistake. Also read: 'Fireball' meteorite in Michigan found to have extraterrestrial compounds Currently, AI is being employed across all industries to generate more accurate results without scope of error. But in the hunt for ET, AI is generally used to spot “technosignatures”, that are indicative of alien life. Accidental formations could be mistaken as evidence of alien life. Ceres currently sits at the asteroid belt between Mars and Jupiter, and had been under the watchful eye of scientists after they spotted bright lights on its surface. They were disappointed to discover what was causing the bright lights. According to NASA’s Dawn mission, the lights turned out to be a product of volcanic ice and salt emissions. Also read: NASA discovers water on sunlit surface of the Moon A crater on the surface of Ceres named Occator, resembled a triangular structure, which led many scientists to speculate that was built by aliens. But it was a misunderstanding. In the study, respondents were shown the crater. They were then asked what they made of it, and many of them pointed out its unusual formation. When they ran the same set of images through an AI system, it also spotted unusual formations, same as the participants. However, while both AI and the respondents found a square image, the AI also registered a triangular image. Also read: Aliens on 1000 nearby stars could see us, new study suggests When human respondents were told about the triangle, they started believing that it was there too, effectively manipulating the information. While the researchers behind the study warned humans of trusting AI too much when it comes to discovering alien life, they added that AI could also detect structures that humans never could.

Could artificial intelligence trick us into believing aliens exist? Scientists think so

Robots will destroy 85 million jobs at mid-sized to large businesses over the next five years as the COVID-19 pandemic quickens changes in the workplace likely to exaggerate inequalities. Watch report.

COVID-19 pandemic speeds labour shift from Humans to robots

These jobs are under threat as robots and artificial intelligence takeover amid pandemic

Facebook has unveiled a new prototype of Augmented Reality (AR) glasses that can amplify what the wearer aims to hear.

It also silences everything else around.

The AR headset gives users "perceptual superpowers", says a report in The Next Web.

One prototype device is equipped with headphones and microphones that capture surrounding sounds.

It then tracks the movements of the user's head and eye movement to work out what they're trying to hear. This headset then enhances the sounds the user's focussed on, and turns the volume down on everything else.

Facebook Reality Labs will organise its annual conference 'Facebook Connect' virtually on September 16. 
&nbsp;

Facebook has unveiled a new prototype of Augmented Reality (AR) glasses that can amplify what the wearer aims to hear. It also silences everything else around. The AR headset gives users "perceptual superpowers", says a report in The Next Web.

Facebook has unveiled a new prototype of Augmented Reality (AR) glasses that can amplify what the wearer aims to hear. It also silences everything else around. The AR headset gives users "perceptual superpowers", says a report in The Next Web. One prototype device is equipped with headphones and microphones that capture surrounding sounds. It then tracks the movements of the user's head and eye movement to work out what they're trying to hear. This headset then enhances the sounds the user's focussed on, and turns the volume down on everything else. Facebook Reality Labs will organise its annual conference 'Facebook Connect' virtually on September 16.

Facebook unveils AR glasses with 'auditory superpowers'

Billionaire entrepreneur Elon Musk, has unveiled a pig that has had a coin-sized computer implant in its brain for two months, calling it an early step toward the goal of curing human diseases with the technology.

Elon Musk shows pig, blend of human & artificial intelligence

“A good selfie is when you successfully capture the feeling of that very moment”, a famous quote used often but what if we were to tell you that a good selfie could also reflect your heart and any cardio diseases you might have. Soon, you can send your best selfies to your doctor and get any heart diseases detected, according to a study. &nbsp;

Artificial intelligence has been doing wonders and the latest one has been enlisted in a research paper by the European Heart Journal on Friday that forms the first study to show that it's possible to use a deep learning computer algorithm to detect coronary artery disease (CAD) by analysing four photographs of a person's face.&nbsp;

Although the algorithm needs to be developed further and tested in larger groups of people from different ethnic backgrounds, the researchers say it has the potential to be used as a screening tool that could identify possible heart disease in people in the general population or in high-risk groups, who could be referred for further clinical investigations.

It is a known fact that certain facial features are associated with an increased risk of heart disease which includes thinning or grey hair, wrinkles amidst others. However, they are difficult for humans to use successfully to predict and quantify heart disease risk. &nbsp;

The study was conducted in two phases. In phase one, eligible patients from eight sites were enrolled and partitioned randomly into training (90%) and validation (10%) groups for algorithm development. In phase two, eligible patients from nine sites were enrolled in a test group. Among these nine sites in phase two, eight also participated in phase one.

Trained research nurses interviewed and photographed patients before the procedures. The baseline interviews collected data on socioeconomic status, lifestyle (alcohol, meat, fast food intake, and sports), clinical presentation, and family history and medications. Frontal, 60° profile and head top views of each patient were photographed according to a standardized protocol using a digital camera. Medical records were abstracted after the procedure to obtain information on demographic characteristics, medical history, risk factors, and laboratory tests.

The researchers then tested the algorithm on further 1,013 patients from nine hospitals in China, enrolled between April 2019 and July 2019. The majority of patients in all the groups were of Han Chinese ethnicity. They found that the algorithm outperformed existing methods of predicting heart disease risk. In the validation group of patients, the algorithm correctly detected heart disease in 80% of cases (the true positive rate or 'sensitivity') and correctly detected heart disease was not present in 61% of cases (the true negative rate or 'specificity'). &nbsp;

The researchers have also enlisted some limitations of the study paper which “include the low specificity of the test that the test needs to be improved and validated in larger populations, and that it raises ethical questions about "misuse of information for discriminatory purposes. Unwanted dissemination of sensitive health record data, which can easily be extracted from a facial photo, renders technologies such as that discussed here a significant threat to personal data protection, potentially affecting insurance option.”

“A good selfie is when you successfully capture the feeling of that very moment”, a famous quote used often but what if we were to tell you that a good selfie could also reflect your heart and any cardio diseases you might have.

“A good selfie is when you successfully capture the feeling of that very moment”, a famous quote used often but what if we were to tell you that a good selfie could also reflect your heart and any cardio diseases you might have. Soon, you can send your best selfies to your doctor and get any heart diseases detected, according to a study. Artificial intelligence has been doing wonders and the latest one has been enlisted in a research paper by the European Heart Journal on Friday that forms the first study to show that it's possible to use a deep learning computer algorithm to detect coronary artery disease (CAD) by analysing four photographs of a person's face. Although the algorithm needs to be developed further and tested in larger groups of people from different ethnic backgrounds, the researchers say it has the potential to be used as a screening tool that could identify possible heart disease in people in the general population or in high-risk groups, who could be referred for further clinical investigations. It is a known fact that certain facial features are associated with an increased risk of heart disease which includes thinning or grey hair, wrinkles amidst others. However, they are difficult for humans to use successfully to predict and quantify heart disease risk. The study was conducted in two phases. In phase one, eligible patients from eight sites were enrolled and partitioned randomly into training (90%) and validation (10%) groups for algorithm development. In phase two, eligible patients from nine sites were enrolled in a test group. Among these nine sites in phase two, eight also participated in phase one. Trained research nurses interviewed and photographed patients before the procedures. The baseline interviews collected data on socioeconomic status, lifestyle (alcohol, meat, fast food intake, and sports), clinical presentation, and family history and medications. Frontal, 60° profile and head top views of each patient were photographed according to a standardized protocol using a digital camera. Medical records were abstracted after the procedure to obtain information on demographic characteristics, medical history, risk factors, and laboratory tests. The researchers then tested the algorithm on further 1,013 patients from nine hospitals in China, enrolled between April 2019 and July 2019. The majority of patients in all the groups were of Han Chinese ethnicity. They found that the algorithm outperformed existing methods of predicting heart disease risk. In the validation group of patients, the algorithm correctly detected heart disease in 80% of cases (the true positive rate or 'sensitivity') and correctly detected heart disease was not present in 61% of cases (the true negative rate or 'specificity'). The researchers have also enlisted some limitations of the study paper which “include the low specificity of the test that the test needs to be improved and validated in larger populations, and that it raises ethical questions about "misuse of information for discriminatory purposes. Unwanted dissemination of sensitive health record data, which can easily be extracted from a facial photo, renders technologies such as that discussed here a significant threat to personal data protection, potentially affecting insurance option.”

‘Selfies’ may form a new tool to detect any heart disease: Study

The India Meteorological Department (IMD) is planning to use artificial intelligence in weather forecasting, especially for issuing nowcasts, which can help improve 3-6 hours prediction of extreme weather events, its Director General Mrutunjay Mohapatra said on Sunday.

He said the use of artificial intelligence and machine learning is not as prevalent as it is in other fields and it is relatively new in the area of weather forecasting.

The IMD has invited research groups who can study how artificial intelligence (AI) be used for improving weather forecasting and the Ministry of Earth Sciences is evaluating their proposals, Mohapatra said.

He said the IMD is also planning to do collaborative studies on this with other institutions.

The IMD uses different tools like radars, satellite imagery, to issue nowcasts, which gives information on extreme weather events occurring in the next 3-6 hours.&nbsp;

The IMD issues forecasts for extreme weather events like thunderstorms, dust storms. Unlike cyclones, predictions of thunderstorms, which also bring lightning, squall and heavy rains, are more difficult as the extreme weather events develop and dissipate in a very short period of time.

Last month, over 160 people died due to lightning alone in Uttar Pradesh and Bihar.

The IMD wants to better the nowcast predictions through AI and machine learning.

The National Oceanic and Atmospheric Administration (NOAA) of the US announced new strategies this year to expand the agency's application of four emerging science and technology focus areas -- NOAA Unmanned Systems, artificial intelligence, Omics, and the cloud -- to guide transformative advancements in the quality and timeliness of NOAA science, products and services.

Omics is a suite of advanced methods used to analyse material such as DNA, RNA, or proteins.

With regards to AI, it said the overarching goal of the NOAA Artificial Intelligence (AI) Strategy is to utilise AI to advance NOAA's requirements-driven mission priorities.

The NOAA said through this, it seeks to reduce the cost of data processing, and provide higher quality and more timely scientific products and services for societal benefits.&nbsp; 
&nbsp;

The India Meteorological Department (IMD) is planning to use artificial intelligence in weather forecasting, especially for issuing nowcasts, which can help improve 3-6 hours prediction of extreme weather events, its Director General Mrutunjay Mohapatra said on Sunday.

The India Meteorological Department (IMD) is planning to use artificial intelligence in weather forecasting, especially for issuing nowcasts, which can help improve 3-6 hours prediction of extreme weather events, its Director General Mrutunjay Mohapatra said on Sunday. He said the use of artificial intelligence and machine learning is not as prevalent as it is in other fields and it is relatively new in the area of weather forecasting. The IMD has invited research groups who can study how artificial intelligence (AI) be used for improving weather forecasting and the Ministry of Earth Sciences is evaluating their proposals, Mohapatra said. He said the IMD is also planning to do collaborative studies on this with other institutions. The IMD uses different tools like radars, satellite imagery, to issue nowcasts, which gives information on extreme weather events occurring in the next 3-6 hours. The IMD issues forecasts for extreme weather events like thunderstorms, dust storms. Unlike cyclones, predictions of thunderstorms, which also bring lightning, squall and heavy rains, are more difficult as the extreme weather events develop and dissipate in a very short period of time. Last month, over 160 people died due to lightning alone in Uttar Pradesh and Bihar. The IMD wants to better the nowcast predictions through AI and machine learning. The National Oceanic and Atmospheric Administration (NOAA) of the US announced new strategies this year to expand the agency's application of four emerging science and technology focus areas -- NOAA Unmanned Systems, artificial intelligence, Omics, and the cloud -- to guide transformative advancements in the quality and timeliness of NOAA science, products and services. Omics is a suite of advanced methods used to analyse material such as DNA, RNA, or proteins. With regards to AI, it said the overarching goal of the NOAA Artificial Intelligence (AI) Strategy is to utilise AI to advance NOAA's requirements-driven mission priorities. The NOAA said through this, it seeks to reduce the cost of data processing, and provide higher quality and more timely scientific products and services for societal benefits.

IMD plans to use AI in weather forecasting

Boeing Australia&nbsp;has unveiled the first artifical powered drone called the ''Loyal Wingman''&nbsp;for the Royal Australian Air Force.

It is also&nbsp;the first military aircraft to be designed and built locally in more than 50 years.

Also read:&nbsp;<a href="https://www.wionews.com/science-tech/scientists-release-app-to-track-covid-19-symptoms-inform-users-about-hot-spots-296975" hreflang="en">Scientists release app to track COVID-19 symptoms, inform users about hot spots</a>

Australian Prime Minister Scott Morrison said ''this a truly historic moment for our country and for Australian defense innovation.''

''The Loyal Wingman will be pivotal to exploring the critical capabilities our Air Force needs to protect our nation and its allies into the future,'' he added.

Also read:&nbsp;<a href="https://www.wionews.com/world/amid-coronavirus-pandemic-china-eyes-moon-trip-with-successful-rocket-launch-296819" hreflang="en">Amid coronavirus pandemic, China eyes moon trip with successful rocket launch</a>

The Loyal Wingman is a&nbsp;38-foot-long&nbsp;drone with a range of 2,000 miles.

It will "use artificial intelligence to fly independently, or in support of manned aircraft, while maintaining safe distance between other aircraft," according to Boeing's website on the project.

The drone&nbsp;will be able to engage in electronic warfare as well as intelligence, reconnaissance and surveillance missions and swap quickly between those roles, according to Boeing.

The aircraft delivered in Sydney on Tuesday is the first of three prototypes Boeing is producing.

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Boeing Australia has unveiled the first artifical powered drone called the ''Loyal Wingman'' for the Royal Australian Air Force. It is also the first military aircraft to be designed and built locally in more than 50 years.

Boeing Australia has unveiled the first artifical powered drone called the ''Loyal Wingman'' for the Royal Australian Air Force. It is also the first military aircraft to be designed and built locally in more than 50 years. Also read: Scientists release app to track COVID-19 symptoms, inform users about hot spots Australian Prime Minister Scott Morrison said ''this a truly historic moment for our country and for Australian defense innovation.'' ''The Loyal Wingman will be pivotal to exploring the critical capabilities our Air Force needs to protect our nation and its allies into the future,'' he added. Also read: Amid coronavirus pandemic, China eyes moon trip with successful rocket launch The Loyal Wingman is a 38-foot-long drone with a range of 2,000 miles. It will "use artificial intelligence to fly independently, or in support of manned aircraft, while maintaining safe distance between other aircraft," according to Boeing's website on the project. The drone will be able to engage in electronic warfare as well as intelligence, reconnaissance and surveillance missions and swap quickly between those roles, according to Boeing. The aircraft delivered in Sydney on Tuesday is the first of three prototypes Boeing is producing.

Australian military unveils its first AI-powered drone

The world's fastest supercomputer has identified chemicals that could curb the widespread of coronavirus outbreak by finding it's cure, according to experts.

IBM's supercomputer known as Summit is the world's fastest supercomputer and is equipped with the "brain of Artificial Intelligence".

Also read:&nbsp;<a href="https://www.wionews.com/world/is-a-cure-for-coronavirus-in-the-sight-287251">Is a cure for Coronavirus in the sight?</a>

It ran thousands of simulations of over 8,000 compounds to analyze which drug compounds might effectively stop the virus from infecting host cells and identified 77 chemicals of such drug compounds that could be effective.

Viruses infect host cells by injecting them with a ''spike''&nbsp;of genetic material.

Summit has found chemicals that could block that process.&nbsp;Experts believe it is a crucial step towards a vaccine.

Also read:&nbsp;<a href="https://www.wionews.com/world/us-begins-first-human-trial-of-coronavirus-vaccine-in-seattle-286862">US begins first human trial of coronavirus vaccine in Seattle</a>

Researchers at Oak Ridge National Laboratory published their findings in the journal ChemRxiv.

''Our results don’t mean that we have found a cure or treatment for the coronavirus. But the findings could inform future studies on how to create the most effective coronavirus vaccine,'' said Jeremy Smith, director of the University of Tennessee/Oak Ridge National Laboratory Center for Molecular Biophysics.

The team will run the simulations on Summit again, using a more accurate model of the coronavirus’ spike that was published this month.&nbsp;

Experimental studies will be required to prove which chemicals work best.

The supercomputer was commissioned by the US Department of Energy in 2014 to help solve the world’s problems.

The world's fastest supercomputer has identified chemicals that could curb the widespread of coronavirus outbreak by finding it's cure, according to experts. IBM's supercomputer known as Summit is the world's fastest supercomputer and is equipped with the "brain of Artificial Intelligence".

The world's fastest supercomputer has identified chemicals that could curb the widespread of coronavirus outbreak by finding it's cure, according to experts. IBM's supercomputer known as Summit is the world's fastest supercomputer and is equipped with the "brain of Artificial Intelligence". Also read: Is a cure for Coronavirus in the sight? It ran thousands of simulations of over 8,000 compounds to analyze which drug compounds might effectively stop the virus from infecting host cells and identified 77 chemicals of such drug compounds that could be effective. Viruses infect host cells by injecting them with a ''spike'' of genetic material. Summit has found chemicals that could block that process. Experts believe it is a crucial step towards a vaccine. Also read: US begins first human trial of coronavirus vaccine in Seattle Researchers at Oak Ridge National Laboratory published their findings in the journal ChemRxiv. ''Our results don’t mean that we have found a cure or treatment for the coronavirus. But the findings could inform future studies on how to create the most effective coronavirus vaccine,'' said Jeremy Smith, director of the University of Tennessee/Oak Ridge National Laboratory Center for Molecular Biophysics. The team will run the simulations on Summit again, using a more accurate model of the coronavirus’ spike that was published this month. Experimental studies will be required to prove which chemicals work best. The supercomputer was commissioned by the US Department of Energy in 2014 to help solve the world’s problems.

COVID-19: Crucial step towards vaccine powered by AI supercomputer

A new antibiotic that kills some of the most dangerous drug-resistant bacteria in the world has been discovered by with the help of <a href="https://www.wionews.com/world/no-question-artificial-intelligence-needs-to-be-regulated-sundar-pichai-275558">artificial intelligence</a> (AI) for the first time.

This powerful antibiotic compound&nbsp;has been discovered by the scientists at Massachusetts Institute of Technology (MIT) with the help of a&nbsp;machine-learning algorithm.

It was published in the journal Cell.

Also read:&nbsp;<a href="https://www.wionews.com/world/no-question-artificial-intelligence-needs-to-be-regulated-sundar-pichai-275558">No question artificial intelligence needs to be regulated: Sundar Pichai</a>

In laboratory tests, the drug killed many of the world’s most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics.&nbsp;

The compound was&nbsp;named halicin by the researchers.

Tests showed that the drug wiped out a range of&nbsp;antibiotic-resistant strains of bacteria, including Acinetobacter baumannii and Enterobacteriaceae, two of the three high-priority pathogens that the <a href="https://www.wionews.com/world/world-health-organization-says-e-cigarettes-undoubtedly-harmful-238779">World Health Organization</a>&nbsp;ranks as ''critical''&nbsp;for new antibiotics to target.

Also read:&nbsp;<a href="https://www.wionews.com/world/common-antibiotics-linked-to-increased-risk-of-birth-defects-study-281731">Common antibiotics linked to increased risk of birth defects: Study</a>

''In terms of antibiotic discovery, this is absolutely a first,''&nbsp;said Regina Barzilay, a senior researcher on the project and specialist in machine learning at <a href="https://www.wionews.com/world/chinese-hackers-target-universities-in-us-to-steal-research-about-maritime-technology-report-201580">Massachusetts Institute of Technology</a> (MIT).

''I think this is one of the more powerful antibiotics that has been discovered to date,” added James Collins, a bioengineer on the team at MIT. “It has remarkable activity against a broad range of antibiotic-resistant pathogens.”

To find new antibiotics, the researchers first trained a ''deep learning''&nbsp;algorithm to identify the sorts of molecules that kill bacteria.&nbsp;

Researchers ran about 6,000 molecules through their artificial intelligence program, searching for those that could&nbsp;block the growth of the bug E. coli.&nbsp;

Tests on bacteria collected from patients showed that halicin killed Mycobacterium tuberculosis, the bug that causes TB, and strains of Enterobacteriaceae that are resistant to carbapenems, a group of antibiotics that are considered the last resort for such infections.

Halicin also cleared C difficile and multidrug-resistant Acinetobacter baumannii infections in mice as well as an untreatable strain of a bacterium that commonly strikes soldiers in <a href="https://www.wionews.com/south-asia/afghanistan-government-to-rebuild-temples-and-gurudwaras-280364">Afghanistan</a> within 24 hours.

The scientists aim to use the algorithm to design potent new antibiotics from scratch in future.

A new antibiotic that kills some of the most dangerous drug-resistant bacteria in the world has been discovered by with the help of artificial intelligence (AI) for the first time.

A new antibiotic that kills some of the most dangerous drug-resistant bacteria in the world has been discovered by with the help of artificial intelligence (AI) for the first time. This powerful antibiotic compound has been discovered by the scientists at Massachusetts Institute of Technology (MIT) with the help of a machine-learning algorithm. It was published in the journal Cell. Also read: No question artificial intelligence needs to be regulated: Sundar Pichai In laboratory tests, the drug killed many of the world’s most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics. The compound was named halicin by the researchers. Tests showed that the drug wiped out a range of antibiotic-resistant strains of bacteria, including Acinetobacter baumannii and Enterobacteriaceae, two of the three high-priority pathogens that the World Health Organization ranks as ''critical'' for new antibiotics to target. Also read: Common antibiotics linked to increased risk of birth defects: Study ''In terms of antibiotic discovery, this is absolutely a first,'' said Regina Barzilay, a senior researcher on the project and specialist in machine learning at Massachusetts Institute of Technology (MIT). ''I think this is one of the more powerful antibiotics that has been discovered to date,” added James Collins, a bioengineer on the team at MIT. “It has remarkable activity against a broad range of antibiotic-resistant pathogens.” To find new antibiotics, the researchers first trained a ''deep learning'' algorithm to identify the sorts of molecules that kill bacteria. Researchers ran about 6,000 molecules through their artificial intelligence program, searching for those that could block the growth of the bug E. coli. Tests on bacteria collected from patients showed that halicin killed Mycobacterium tuberculosis, the bug that causes TB, and strains of Enterobacteriaceae that are resistant to carbapenems, a group of antibiotics that are considered the last resort for such infections. Halicin also cleared C difficile and multidrug-resistant Acinetobacter baumannii infections in mice as well as an untreatable strain of a bacterium that commonly strikes soldiers in Afghanistan within 24 hours. The scientists aim to use the algorithm to design potent new antibiotics from scratch in future.

Powerful antibiotic discovered using artificial intelligence for first time

Prime Minister <a href="https://www.wionews.com/india-news/latest-india-news-our-target-is-5-billion-of-defence-export-in-next-five-years-narendra-modi-278885">Narendra Modi </a>on Wednesday said two grand defence manufacturing corridors were being built in <a href="https://www.wionews.com/india-news/latest-india-news-our-target-is-5-billion-of-defence-export-in-next-five-years-narendra-modi-278885">Uttar Pradesh</a> and Tamil Nadu to help the defence sector as well as other smaller businesses in the regions.

"Two grand defence corridors are being built today in India. One is in Tamil Nadu, while the second is being built in Uttar Pradesh. This will not only help the defence sector but other smaller businesses in the regions as well," said Prime Minister here at the <a href="https://www.wionews.com/india-news/latest-india-news-our-target-is-5-billion-of-defence-export-in-next-five-years-narendra-modi-278885">Defence Expo 2020</a>.

Also read: <a href="https://www.wionews.com/india-news/latest-india-news-our-target-is-5-billion-of-defence-export-in-next-five-years-narendra-modi-278885">Our target is $5 billion of defence export in next five years: Narendra Modi</a>

Stressing on India's future plan to strengthen the defence sector, he said at least 25 products associated with artificial intelligence in the defence sector will be developed in the next 5 years. 
He said aspirations and abilities of 21st century India are being well-portrayed at this Expo.

The <a href="https://www.wionews.com/india-news/latest-india-news-our-target-is-5-billion-of-defence-export-in-next-five-years-narendra-modi-278885">Prime Minister</a> said India is targetting to export defence of Rs 35,00 crore in the next five years.

"In 2014, the export of defence of India was about Rs 2000 crore. In the last 2 years, India has exported defence worth Rs 17,000 crore. In the next 5 years, we're targeting to take the number to Rs 35,000 crore," he said.

Also read: <a href="https://www.wionews.com/india-news/latest-india-news-we-want-to-make-india-a-defence-manufacturing-hub-rajnath-singh-278846">We want to make India a defence manufacturing hub: Rajnath Singh</a>

"Till 2014, only 217 defence licenses were issued. In the last 5 years, this number has grown to 460," the Prime Minister added.

He asserted that India is building several defence types of equipment like artillery guns, aircraft carriers, submarines, light-combat aircraft, and combat helicopters.

"People who understand economy and defence know that India is not just a market, but a huge opportunity as well," he said.

Underlining that several changes have been made in the offset sector and guidelines have been made more flexible, Modi said: "These changes would help the Indian industry take a bigger role in the world supply chain. World's top defence manufacturers will now get more competitive Indian partners."

The Prime Minister also said that the "wrong use of technology, terrorism and cyber threats" are big hurdles for the entire world.

The main theme of this year's event is 'India: The Emerging Defence Manufacturing Hub' and the focus will be on 'Digital Transformation of Defence'. 
 
As many as 1028 companies have registered for participating in this year's event, as against 702 in the DefExpo 2018. The number of participating foreign companies have also increased to 172 from the previous figure of 160.

Prime Minister Narendra Modi on Wednesday said two grand defence manufacturing corridors were being built in Uttar Pradesh and Tamil Nadu to help the defence sector as well as other smaller businesses in the regions.

Prime Minister Narendra Modi on Wednesday said two grand defence manufacturing corridors were being built in Uttar Pradesh and Tamil Nadu to help the defence sector as well as other smaller businesses in the regions. "Two grand defence corridors are being built today in India. One is in Tamil Nadu, while the second is being built in Uttar Pradesh. This will not only help the defence sector but other smaller businesses in the regions as well," said Prime Minister here at the Defence Expo 2020. Also read: Our target is $5 billion of defence export in next five years: Narendra Modi Stressing on India's future plan to strengthen the defence sector, he said at least 25 products associated with artificial intelligence in the defence sector will be developed in the next 5 years. He said aspirations and abilities of 21st century India are being well-portrayed at this Expo. The Prime Minister said India is targetting to export defence of Rs 35,00 crore in the next five years. "In 2014, the export of defence of India was about Rs 2000 crore. In the last 2 years, India has exported defence worth Rs 17,000 crore. In the next 5 years, we're targeting to take the number to Rs 35,000 crore," he said. Also read: We want to make India a defence manufacturing hub: Rajnath Singh "Till 2014, only 217 defence licenses were issued. In the last 5 years, this number has grown to 460," the Prime Minister added. He asserted that India is building several defence types of equipment like artillery guns, aircraft carriers, submarines, light-combat aircraft, and combat helicopters. "People who understand economy and defence know that India is not just a market, but a huge opportunity as well," he said. Underlining that several changes have been made in the offset sector and guidelines have been made more flexible, Modi said: "These changes would help the Indian industry take a bigger role in the world supply chain. World's top defence manufacturers will now get more competitive Indian partners." The Prime Minister also said that the "wrong use of technology, terrorism and cyber threats" are big hurdles for the entire world. The main theme of this year's event is 'India: The Emerging Defence Manufacturing Hub' and the focus will be on 'Digital Transformation of Defence'. As many as 1028 companies have registered for participating in this year's event, as against 702 in the DefExpo 2018. The number of participating foreign companies have also increased to 172 from the previous figure of 160.

Uttar Pradesh, Tamil Nadu to become grand defence manufacturing corridors, says PM Modi

<a href="https://www.wionews.com/opinions/indias-progress-on-artificial-intelligence-route-185592">Artificial intelligence</a> has invented a drug molecule that will be used to treat patients who have <a href="https://www.wionews.com/world/one-bottle-a-day-mother-of-five-has-been-addicted-to-eating-talcum-powder-for-nearly-15-years-273197">obsessive-compulsive disorder</a> (OCD) for the first time.

It has been created by a British start-up called Exscientia and Japanese pharmaceutical firm called Sumitomo Dainippon Pharma.

AI was able to produce this drug molecule in just a period of 12 months.

Usually, it takes about five years for a drug to develop.

Also read:&nbsp;<a href="https://www.wionews.com/world/cars-camera-system-can-keep-drowsy-drivers-awake-277353">Soon, cars to have inbuilt system to keep drowsy drivers alert and awake</a>

''It is a key milestone in drug discovery'', Exscienta chief executive professor Andrew Hopkins.

AI has been used to diagnose patients and to analyse patients and their data and scans.

But this is the first time that it has been directly used for the creation of a new medicine.

Also read:&nbsp;<a href="https://www.wionews.com/world/francis-pope-discusses-ethics-of-artificial-intelligence-with-microsoft-chief-brad-smith-197242">Pope Francis, Microsoft chief Brad Smith discuss ethics of artificial intelligence</a>

The molecule is called DSP-1181.

It was invented by using algorithms that go through potential compounds and check them against an enormous database that comprises of several parameters.

It will enter ''phase one'' trails in <a href="https://www.wionews.com/world/japan-tells-citizens-to-avoid-non-essential-travel-to-china-277709">Japan</a>.

It will be followed by more global tests if successful.&nbsp;

The entities are also working on potential drugs that can treat <a href="https://www.wionews.com/world/study-finds-google-system-could-improve-breast-cancer-detection-271720">cancer </a>and cardiovascular diseases.&nbsp;

Artificial intelligence has invented a drug molecule that will be used to treat patients who have obsessive-compulsive disorder (OCD) for the first time. It has been created by a British start-up called Exscientia and Japanese pharmaceutical firm called Sumitomo Dainippon Pharma.

Artificial intelligence has invented a drug molecule that will be used to treat patients who have obsessive-compulsive disorder (OCD) for the first time. It has been created by a British start-up called Exscientia and Japanese pharmaceutical firm called Sumitomo Dainippon Pharma. AI was able to produce this drug molecule in just a period of 12 months. Usually, it takes about five years for a drug to develop. Also read: Soon, cars to have inbuilt system to keep drowsy drivers alert and awake ''It is a key milestone in drug discovery'', Exscienta chief executive professor Andrew Hopkins. AI has been used to diagnose patients and to analyse patients and their data and scans. But this is the first time that it has been directly used for the creation of a new medicine. Also read: Pope Francis, Microsoft chief Brad Smith discuss ethics of artificial intelligence The molecule is called DSP-1181. It was invented by using algorithms that go through potential compounds and check them against an enormous database that comprises of several parameters. It will enter ''phase one'' trails in Japan. It will be followed by more global tests if successful. The entities are also working on potential drugs that can treat cancer and cardiovascular diseases.

In a first, medicine created by artificial intelligence to treat obesessive-compulsive disorder

Distraction while driving can lead to loss of life. Smartphones, smoking, eating and listening to music are vital factors in 30 per cent of the <a href="https://www.wionews.com/india-news/india-ranks-first-in-the-number-of-road-accident-deaths-who-263453">road crashes</a>, whereas fatigue factors in up to 20 per cent cases, says the <a href="https://www.wionews.com/world/european-commission-could-slap-3-billion-euro-fine-on-italy-for-excessive-debt-deputy-pm-salvini-222359">European Commission</a>.

To avoid these accidents, a new safety technology will become compulsory in new European vehicles from the year 2022.

This will include a warning for the driver in the event of "drowsiness and distraction''.

Also read: <a href="https://www.wionews.com/india-news/india-ranks-first-in-the-number-of-road-accident-deaths-who-263453">India ranks first in the number of road accident deaths: WHO</a>

Several companies are positioning themselves as the leading providers of this technology.

Among these is <a href="https://www.wionews.com/business-economy/auto-supplier-bosch-rejects-diesel-allegations-as-wild-and-unfounded-5431">Bosch</a>, the German engineering and technology company announced in December that it has already developed an interior monitoring system that is capable of detecting drowsy and distracted drivers. 
&nbsp; 
Camera and <a href="https://www.wionews.com/opinions/indias-progress-on-artificial-intelligence-route-185592">artificial intelligence</a> (AI) will be used in this technology which will be inbuilt in cars from 2022.

Also read:&nbsp;<a href="https://www.wionews.com/opinions/indias-progress-on-artificial-intelligence-route-185592">India’s progress on Artificial Intelligence route</a>

<img alt="Driver monitoring system" data-entity-type="file" data-entity-uuid="9a4ff114-8b94-4305-8b02-6cf7bece45b2" src="//cdn.wionews.com/sites/default/files/inline-images/Untitled%20design%20-%202020-01-29T181434.109.jpg" /> 
(Image courtesy: Bosch)

It will be able to detect when the driver's eyelids are drooping or when they distracted.&nbsp;The frequency of the opening and the closing of the eyelids is monitored.

For this purpose, an algorithm using recordings of actual driving situations will be used.

The drivers will be alerted by the system and suggested to take a break if they are tired or will be asked to reduce the speed to avoid accidents.

The form of the alert will depend upon the wishes of the automakers who will alter it according to their consumers'&nbsp;taste and preference.

Distraction while driving can lead to loss of life. Smartphones, smoking, eating and listening to music are vital factors in 30 per cent of the road crashes, whereas fatigue factors in up to 20 per cent cases, says the European Commission.

Distraction while driving can lead to loss of life. Smartphones, smoking, eating and listening to music are vital factors in 30 per cent of the road crashes, whereas fatigue factors in up to 20 per cent cases, says the European Commission. To avoid these accidents, a new safety technology will become compulsory in new European vehicles from the year 2022. This will include a warning for the driver in the event of "drowsiness and distraction''. Also read: India ranks first in the number of road accident deaths: WHO Several companies are positioning themselves as the leading providers of this technology. Among these is Bosch, the German engineering and technology company announced in December that it has already developed an interior monitoring system that is capable of detecting drowsy and distracted drivers. Camera and artificial intelligence (AI) will be used in this technology which will be inbuilt in cars from 2022. Also read: India’s progress on Artificial Intelligence route (Image courtesy: Bosch) It will be able to detect when the driver's eyelids are drooping or when they distracted. The frequency of the opening and the closing of the eyelids is monitored. For this purpose, an algorithm using recordings of actual driving situations will be used. The drivers will be alerted by the system and suggested to take a break if they are tired or will be asked to reduce the speed to avoid accidents. The form of the alert will depend upon the wishes of the automakers who will alter it according to their consumers' taste and preference.

Soon, cars to have inbuilt system to keep drowsy drivers alert and awake

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