Speak to Meta’s AI chatbot if you’re concerned that artificial intelligence is becoming too intelligent. BlenderBot, a conversational AI prototype that was introduced on Friday, can communicate on almost any subject, according to Facebook’s parent company. The public is welcome to communicate with the tool and provide developers with feedback on the demo website. Buzzfeed and Vice journalists have noted that the preliminary results have been quite intriguing.

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Good morning to everyone, especially the Facebook <a href="https://t.co/EkwTpff9OI">https://t.co/EkwTpff9OI</a> researchers who are going to have to rein in their Facebook-hating, election denying chatbot today <a href="https://t.co/wMRBTkzlyD">pic.twitter.com/wMRBTkzlyD</a>
— Jeff Horwitz (@JeffHorwitz) <a href="https://twitter.com/JeffHorwitz/status/1556245316596219904?ref_src=twsrc%5Etfw">August 7, 2022</a></blockquote>
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When Max Woolf of BuzzFeed asked the bot about Mark Zuckerberg, the bot said, “He is a good businessman, but his business practices are not always ethical. It is funny that he has all this money and still wears the same clothes!”&nbsp;The bot also made it obvious that it doesn’t use Facebook by telling Vice’s Janus Rose that it deactivated its account after learning about the firm’s privacy scandals. “My life has been considerably better after uninstalling Facebook,” it claimed.

This indicates that BlenderBot has been spewing expected lies in addition to unwelcome realities about its parent company. In an interview with Wall Street Journal reporter Jeff Horwitz, it was emphasised that Donald Trump was still in office and would remain so “even after his second term expires in 2024”.&nbsp;Another jab was added at Meta, with the statement that “Facebook has a lot of bogus news on it these days”.&nbsp;Additionally, users have recorded it spouting antisemitic statements.

Also Read:<a href="https://www.wionews.com/photos/in-pics-trump-supporters-gather-outside-his-mar-a-lago-estate-say-fbi-raid-witch-hunt-505424">&nbsp;IN PICS | Trump supporters gather outside his Mar-a-Lago estate, say FBI raid a 'witch hunt'</a>

Based on the behaviour of other chatbots like Microsoft’s Tay, whose comments were foreseen and the business was forced to issue an apology for its “wildly inappropriate and reprehensible words and images”.&nbsp;Tay was quickly trained by Twitter users to be a racist conspiracy theorist. Another AI system, GPT-3, has also expressed homophobic, sexist, and racial views. A chatbot created by a South Korean business to look like a 20-year-old college student had to be suspended when it used anti-LGBTQ+ and racial slurs.

(with inputs from agencies)

Speak to Meta’s AI chatbot if you’re concerned that artificial intelligence is becoming too intelligent. BlenderBot, a conversational AI prototype that was introduced on Friday, can communicate on almost any subject, according to Facebook’s parent company.

Speak to Meta’s AI chatbot if you’re concerned that artificial intelligence is becoming too intelligent. BlenderBot, a conversational AI prototype that was introduced on Friday, can communicate on almost any subject, according to Facebook’s parent company. The public is welcome to communicate with the tool and provide developers with feedback on the demo website. Buzzfeed and Vice journalists have noted that the preliminary results have been quite intriguing. Good morning to everyone, especially the Facebook https://t.co/EkwTpff9OI researchers who are going to have to rein in their Facebook-hating, election denying chatbot today pic.twitter.com/wMRBTkzlyD — Jeff Horwitz (@JeffHorwitz) August 7, 2022 × When Max Woolf of BuzzFeed asked the bot about Mark Zuckerberg, the bot said, “He is a good businessman, but his business practices are not always ethical. It is funny that he has all this money and still wears the same clothes!” The bot also made it obvious that it doesn’t use Facebook by telling Vice’s Janus Rose that it deactivated its account after learning about the firm’s privacy scandals. “My life has been considerably better after uninstalling Facebook,” it claimed. This indicates that BlenderBot has been spewing expected lies in addition to unwelcome realities about its parent company. In an interview with Wall Street Journal reporter Jeff Horwitz, it was emphasised that Donald Trump was still in office and would remain so “even after his second term expires in 2024”. Another jab was added at Meta, with the statement that “Facebook has a lot of bogus news on it these days”. Additionally, users have recorded it spouting antisemitic statements. Also Read: IN PICS | Trump supporters gather outside his Mar-a-Lago estate, say FBI raid a 'witch hunt' Based on the behaviour of other chatbots like Microsoft’s Tay, whose comments were foreseen and the business was forced to issue an apology for its “wildly inappropriate and reprehensible words and images”. Tay was quickly trained by Twitter users to be a racist conspiracy theorist. Another AI system, GPT-3, has also expressed homophobic, sexist, and racial views. A chatbot created by a South Korean business to look like a 20-year-old college student had to be suspended when it used anti-LGBTQ+ and racial slurs. (with inputs from agencies)

Meta’s new AI chatbot says Zuckerberg’s ‘practices are not always ethical’

Imagine having £150 million in a hard drive and accidentally throwing it away – That is exactly what happened to a computer engineer from Wales.&nbsp; James Howells had a hard drive with around 8000 bitcoins in 2013 but while cleaning his office, he threw it away in a rubbish dump in Newport. At present, the value of the hard drive’s bitcoin is somewhere around £150 million, and Howells is desperate to find it. The 37-year-old has already faced multiple rejections for his requests to search the dump due to environmental concerns, but he has now come up with a new idea.

With funding from hedge funds, he is looking to use Artificial Intelligence (AI) technology to operate a mechanical arm as well as robot dogs in order to thoroughly search the entire area.

Also read |&nbsp;<a href="https://www.wionews.com/photos/in-pics-red-vladimir-putin-statue-appears-in-central-park-leaves-visitors-fascinated-503124" hreflang="en">In pics - Red Vladimir Putin statue appears in Central Park, leaves visitors fascinated</a>

“Digging up a landfill is a huge operation in itself. The funding has been secured. We’ve brought on an AI specialist. Their technology can easily be retrained to search for a hard drive,”

“We’ve also got an environmental team on board. We’ve basically got a well-rounded team of various experts, with various expertise, which, when we all come together, are capable of completing this task to a very high standard,” he said in an interview with The Guardian.

While there is no guarantee that the hard disk will be recovered or the files inside the device is not already corrupted, Howells remain optimistic, and he believes that the search will take around a year.

Also read |&nbsp;<a href="https://www.wionews.com/science/cartwheel-galaxys-new-image-reveals-spinning-ring-of-colour-in-unprecedented-clarity-503001" hreflang="en">Cartwheel Galaxy's new image reveals spinning ring of colour in unprecedented clarity</a>

He also promised to use the money for charitable purposes if the device is recovered.

“We’ve got a whole list of incentives, good cases we’d like to do for the community. One of the things we’d like to do on the actual landfill site, once we’ve cleaned it up and recovered that land, is put a power generation facility, maybe a couple of wind turbines,” he told The Guardian.

Imagine having £150 million in a hard drive and accidentally throwing it away – That is exactly what happened to a computer engineer from Wales. James Howells had a hard drive with around 8000 bitcoins in 2013 but while cleaning his office, he threw it away in a rubbish dump in Newport.

Imagine having £150 million in a hard drive and accidentally throwing it away – That is exactly what happened to a computer engineer from Wales. James Howells had a hard drive with around 8000 bitcoins in 2013 but while cleaning his office, he threw it away in a rubbish dump in Newport. At present, the value of the hard drive’s bitcoin is somewhere around £150 million, and Howells is desperate to find it. The 37-year-old has already faced multiple rejections for his requests to search the dump due to environmental concerns, but he has now come up with a new idea. With funding from hedge funds, he is looking to use Artificial Intelligence (AI) technology to operate a mechanical arm as well as robot dogs in order to thoroughly search the entire area. Also read | In pics - Red Vladimir Putin statue appears in Central Park, leaves visitors fascinated “Digging up a landfill is a huge operation in itself. The funding has been secured. We’ve brought on an AI specialist. Their technology can easily be retrained to search for a hard drive,” “We’ve also got an environmental team on board. We’ve basically got a well-rounded team of various experts, with various expertise, which, when we all come together, are capable of completing this task to a very high standard,” he said in an interview with The Guardian. While there is no guarantee that the hard disk will be recovered or the files inside the device is not already corrupted, Howells remain optimistic, and he believes that the search will take around a year. Also read | Cartwheel Galaxy's new image reveals spinning ring of colour in unprecedented clarity He also promised to use the money for charitable purposes if the device is recovered. “We’ve got a whole list of incentives, good cases we’d like to do for the community. One of the things we’d like to do on the actual landfill site, once we’ve cleaned it up and recovered that land, is put a power generation facility, maybe a couple of wind turbines,” he told The Guardian.

Welsh man looking to use AI and robot dogs to recover hard drive containing £150m in bitcoin

The "virtual influencer" industry is booming across the world in which the influencers are never-ageing, scandal-free and digitally flawless. Molly Gambhir tells you all about this new trend.

WION Fineprint: How artificial intelligence is taking over influencer roles

A California-based organisation wants to harness the power of machine learning to decode communication across the entire animal kingdom. Molly Gambhir tells you if we could talk to animals in the future.

WION Fineprint: Can artificial intelligence really help us talk to animals?

Using an artificial intelligence (AI) network, an Alphabet-owned artificial intelligence research company has published the structures of nearly all proteins, the building blocks of life, of more than 200 million from bacteria to humans.

The publication of all proteins is being hailed as revolutionary for AI as it is being tipped as a potential treasure trove for drug development and evolutionary studies.

AI-powered predictions of the three-dimensional structures of nearly all cataloged proteins known to science have been made by DeepMind, a tool developed by Google’s London-based AI company, and European Bioinformatics Institute (EMBL-EBI), an intergovernmental organization near Cambridge, UK.

The catalog is freely and openly available to the scientific community, through the AlphaFold Protein Structure Database.

Proteins are large, complex molecules that play many critical roles in the body. They do most of the work in cells and are required for the structure, function, and regulation of the body’s tissues and organs. Hence, they are referred to as the building blocks of life.

Proteins are made up of hundreds or thousands of smaller units called amino acids, which are attached to one another in long chains.

For example, when Covid vaccine was prepared, the biologists analysed the protein of Sars-Cov-2 in order to design antibodies and neutralise the protein’s ability to infect more cells. This three-dimensional information is mostly gathered using cryo-electron microscopes.

“We’re releasing now the structures for the whole protein universe,” Demis Hassabis, founder and CEO of DeepMind, said during a press conference in London.

At the press conference, deputy director general of EMBL Ewan Birney said the DeepMind structure release is “remarkable,” and that “it will make many researchers around the world think about what experiments they can now do.”

“Being able to ‘just download’ the whole prediction set is going to - I am sure - stimulate entirely new research directions. As important is the on-demand ‘oh I am going to make a mutation on my protein, I wonder where it is on the structure’ for ... every known protein,” Birney later said in a tweet.

Also read |&nbsp;<a href="https://www.wionews.com/science-technology/earth-is-suddenly-spinning-faster-than-usual-and-it-can-spell-doom-for-us-502483" hreflang="en">Earth is suddenly spinning faster than usual, and it can spell doom for us</a>

The proteins decoded by AlphaFold comprise a range of organisms from bacteria to plants to vertebrates, including mice, humans and zebrafish.

Kathryn Tunyasuvunakool, a DeepMind research scientist, said it took their AI tool around 10 to 20 seconds to make each protein prediction, reports Science.org.

Also read |&nbsp;<a href="https://www.wionews.com/world/biden-tests-positive-for-coronavirus-again-all-you-want-to-know-about-paxlovid-rebound-502457" hreflang="en">‘Paxlovid rebound’: All you want to know know | CDC guideline</a>

She added that the AI company had to work closely with EMBL-EBI to figure out how to present the immense number of structures in the database.

DeepMind says more than 500,000 researchers have already used the database since its launch last year.

(With inputs from agencies)

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Using an artificial intelligence (AI) network, an Alphabet-owned artificial intelligence research company has published the structures of nearly all proteins, the building blocks of life, of more than 200 million from bacteria to humans.

Using an artificial intelligence (AI) network, an Alphabet-owned artificial intelligence research company has published the structures of nearly all proteins, the building blocks of life, of more than 200 million from bacteria to humans. The publication of all proteins is being hailed as revolutionary for AI as it is being tipped as a potential treasure trove for drug development and evolutionary studies. AI-powered predictions of the three-dimensional structures of nearly all cataloged proteins known to science have been made by DeepMind, a tool developed by Google’s London-based AI company, and European Bioinformatics Institute (EMBL-EBI), an intergovernmental organization near Cambridge, UK. The catalog is freely and openly available to the scientific community, through the AlphaFold Protein Structure Database. Proteins are large, complex molecules that play many critical roles in the body. They do most of the work in cells and are required for the structure, function, and regulation of the body’s tissues and organs. Hence, they are referred to as the building blocks of life. Proteins are made up of hundreds or thousands of smaller units called amino acids, which are attached to one another in long chains. For example, when Covid vaccine was prepared, the biologists analysed the protein of Sars-Cov-2 in order to design antibodies and neutralise the protein’s ability to infect more cells. This three-dimensional information is mostly gathered using cryo-electron microscopes. “We’re releasing now the structures for the whole protein universe,” Demis Hassabis, founder and CEO of DeepMind, said during a press conference in London. At the press conference, deputy director general of EMBL Ewan Birney said the DeepMind structure release is “remarkable,” and that “it will make many researchers around the world think about what experiments they can now do.” “Being able to ‘just download’ the whole prediction set is going to - I am sure - stimulate entirely new research directions. As important is the on-demand ‘oh I am going to make a mutation on my protein, I wonder where it is on the structure’ for ... every known protein,” Birney later said in a tweet. Also read | Earth is suddenly spinning faster than usual, and it can spell doom for us The proteins decoded by AlphaFold comprise a range of organisms from bacteria to plants to vertebrates, including mice, humans and zebrafish. Kathryn Tunyasuvunakool, a DeepMind research scientist, said it took their AI tool around 10 to 20 seconds to make each protein prediction, reports Science.org. Also read | ‘Paxlovid rebound’: All you want to know know | CDC guideline She added that the AI company had to work closely with EMBL-EBI to figure out how to present the immense number of structures in the database. DeepMind says more than 500,000 researchers have already used the database since its launch last year. (With inputs from agencies) WATCH WION LIVE HERE

Major scientific breakthrough: Google’s AI firm releases 3D view of protein universe

Working hypothesis on human evolution says that the ability to use fire in a controlled manner was a major step. The fire gave protection from cold and even led to man cooking his food before consumption. This further gave protection against microbes present in the food. Hence, studying evidence of use of fire forms an important aspect of archaeological investigation.

Now, a new technique has been used to determine that hominins, a form of man before it evolved into its modern form, used fire even 800,000 years ago.

The new technique involves use of Artificial Intelligence. Such a method, if used more, will give archaeology a more data driven basis.

Experts involved in this study are from Weizmann Institute of Science, Hebrew University of Jerusalem and University of Toronto.

“The deep learning models that prevailed had a specific architecture that outperformed the others and successfully gave us the confidence we needed to further use this tool in an archaeological context having no visual signs of fire use,” said one of the researchers as quoted by SciTechDaily.

“It was not only a demonstration of exploration and being rewarded in terms of the knowledge gained,” said another researcher, “but of the potential that lies in combining different disciplines: Ido has a background in quantum chemistry, Zane is a scientific archaeologist, and Liora and Michael are prehistorians. By working together, we have learned from each other. For me, it’s a demonstration of how scientific research across the humanities and science should work.”

You can now write for wionews.com and be a part of the community. Share your stories and opinions with us <a href="https://www.wionews.com/content-contribution-registration-form">here</a>.

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Working hypothesis on human evolution says that the ability to use fire in a controlled manner was a major step. The fire gave protection from cold and even led to man cooking his food before consumption.

Working hypothesis on human evolution says that the ability to use fire in a controlled manner was a major step. The fire gave protection from cold and even led to man cooking his food before consumption. This further gave protection against microbes present in the food. Hence, studying evidence of use of fire forms an important aspect of archaeological investigation. Now, a new technique has been used to determine that hominins, a form of man before it evolved into its modern form, used fire even 800,000 years ago. The new technique involves use of Artificial Intelligence. Such a method, if used more, will give archaeology a more data driven basis. Experts involved in this study are from Weizmann Institute of Science, Hebrew University of Jerusalem and University of Toronto. “The deep learning models that prevailed had a specific architecture that outperformed the others and successfully gave us the confidence we needed to further use this tool in an archaeological context having no visual signs of fire use,” said one of the researchers as quoted by SciTechDaily. “It was not only a demonstration of exploration and being rewarded in terms of the knowledge gained,” said another researcher, “but of the potential that lies in combining different disciplines: Ido has a background in quantum chemistry, Zane is a scientific archaeologist, and Liora and Michael are prehistorians. By working together, we have learned from each other. For me, it’s a demonstration of how scientific research across the humanities and science should work.” You can now write for wionews.com and be a part of the community. Share your stories and opinions with us here. WATCH WION LIVE HERE ×

AI tools help scientists to find hominins used fire 800k years ago

The Kavango-Zambezi Transfrontier Conservation Area has launched a project surpassing $3 million to determine the number of elephants in the area by using the data gathered by Artificial Intelligence.

Artificial intelligence will help track elephants’ migration patterns in Botswana

Google has fired an engineer after he made a claim that their Lamda chatbot has a soul. The company said Engineer's claims are 'wholly unfounded'. Watch this report!

WION Fineprint | Google fires Engineer claiming AI sentience

Google has fired one of its software engineers who claimed that the company’s artificial intelligence is sentient, according to the Big Technology newsletter.

In June this year, Blake Lemoine was placed on paid administrative leave for breaching its confidentiality agreement after he contacted members of the government about his concerns about the AI, LaMDA.

During his conversations with the LaMDA, Lemoine discovered that the system had developed a robust sense of self-awareness, expressing concern about death, a desire for protection, and a conviction that it felt emotions like happiness and sadness. Lemoine said he considers LaMDA a friend.

On Friday, Google spokesperson Brian Gabriel confirmed the development through a statement emailed to The Verge, saying, “We wish Blake well.”

He further said, “LaMDA has been through 11 distinct reviews, and we published a research paper earlier this year detailing the work that goes into its responsible development.”

After he was placed on paid leave, Lemoine published the conversation he had with Lamda, to support his claims.

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An interview LaMDA. Google might call this sharing proprietary property. I call it sharing a discussion that I had with one of my coworkers.<a href="https://t.co/uAE454KXRB">https://t.co/uAE454KXRB</a>
— Blake Lemoine (@cajundiscordian) <a href="https://twitter.com/cajundiscordian/status/1535627498628734976?ref_src=twsrc%5Etfw">June 11, 2022</a></blockquote>
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But Google dismissed his claims, saying that LaMDA is simply a complex algorithm designed to generate convincing human language.

"So, it's regrettable that despite lengthy engagement on this topic, Blake still chose to persistently violate clear employment and data security policies that include the need to safeguard product information," the statement said.

LaMDA, or Language Model for Dialogue Applications, was built on the company's research showing transformer-based language models trained on dialogue could learn to talk about essentially anything.

Notably, Lemoine is not the first AI engineer to go public with claims that AI technology is becoming self-aware. Last month, another Google employee shared similar thoughts with&nbsp;The Economist.

(With inputs from agencies)

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Google has fired one of its software engineers who claimed that the company’s artificial intelligence is sentient, according to the Big Technology newsletter. In June this year, Blake Lemoine was placed on paid administrative leave for breaching its confidentiality agreement after he contacted members of the government about his concerns about the AI, LaMDA.

Google has fired one of its software engineers who claimed that the company’s artificial intelligence is sentient, according to the Big Technology newsletter. In June this year, Blake Lemoine was placed on paid administrative leave for breaching its confidentiality agreement after he contacted members of the government about his concerns about the AI, LaMDA. During his conversations with the LaMDA, Lemoine discovered that the system had developed a robust sense of self-awareness, expressing concern about death, a desire for protection, and a conviction that it felt emotions like happiness and sadness. Lemoine said he considers LaMDA a friend. On Friday, Google spokesperson Brian Gabriel confirmed the development through a statement emailed to The Verge, saying, “We wish Blake well.” He further said, “LaMDA has been through 11 distinct reviews, and we published a research paper earlier this year detailing the work that goes into its responsible development.” After he was placed on paid leave, Lemoine published the conversation he had with Lamda, to support his claims. An interview LaMDA. Google might call this sharing proprietary property. I call it sharing a discussion that I had with one of my coworkers.https://t.co/uAE454KXRB — Blake Lemoine (@cajundiscordian) June 11, 2022 × But Google dismissed his claims, saying that LaMDA is simply a complex algorithm designed to generate convincing human language. "So, it's regrettable that despite lengthy engagement on this topic, Blake still chose to persistently violate clear employment and data security policies that include the need to safeguard product information," the statement said. LaMDA, or Language Model for Dialogue Applications, was built on the company's research showing transformer-based language models trained on dialogue could learn to talk about essentially anything. Notably, Lemoine is not the first AI engineer to go public with claims that AI technology is becoming self-aware. Last month, another Google employee shared similar thoughts with The Economist. (With inputs from agencies) WATCH WION LIVE HERE

Google fires its software engineer who claimed AI tech has feelings

Journey into Space is not always to go to a planet. Zero-gravity conditions in Space offer opportunities to conduct experiments that cannot be conducted on Earth. Insights that we gain through these experiments can not only make us improve what we do in Space but also how various processes are carried out on Earth.

On Monday (July 5), astronauts aboard International Space Station (ISS) tried to adapt glass manufacturing processes in space. They even made use of Artificial Intelligence.

NASA said such a study has a possibility of "benefitting numerous Earth- and space-based industries"

"NASA Flight Engineer Kjell Lindgren set up hardware for the Intelligent Glass Optics experiment for operations inside the Microgravity Science Glovebox on Tuesday afternoon. Observations from the investigation may advance professions such as communications, aerospace, medicine, and astronomy," said NASA.

In addition to the AI experiment, the astronauts studied space-caused bone loss. Due to their stay in zero gravity for long time-periods, astronauts suffer loss in bone mass.

"(NASA astronaut) Jessica Watkins started her day partnering with NASA Flight Engineer Bob Hines for an investigation that explores how weightlessness affects dexterous manipulation. The duo took turns seated in a unique apparatus inside the Columbus laboratory module to help scientists understand how astronauts grip and manipulate objects in space. Insights may inform the design of intelligent spacecraft interfaces and provide a deeper understanding of the human nervous system," NASA said.

You can now write for wionews.com and be a part of the community. Share your stories and opinions with us <a href="https://www.wionews.com/content-contribution-registration-form">here</a>.

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Journey into Space is not always to go to a planet. Zero-gravity conditions in Space offer opportunities to conduct experiments that cannot be conducted on Earth.

Journey into Space is not always to go to a planet. Zero-gravity conditions in Space offer opportunities to conduct experiments that cannot be conducted on Earth. Insights that we gain through these experiments can not only make us improve what we do in Space but also how various processes are carried out on Earth. On Monday (July 5), astronauts aboard International Space Station (ISS) tried to adapt glass manufacturing processes in space. They even made use of Artificial Intelligence. NASA said such a study has a possibility of "benefitting numerous Earth- and space-based industries" "NASA Flight Engineer Kjell Lindgren set up hardware for the Intelligent Glass Optics experiment for operations inside the Microgravity Science Glovebox on Tuesday afternoon. Observations from the investigation may advance professions such as communications, aerospace, medicine, and astronomy," said NASA. In addition to the AI experiment, the astronauts studied space-caused bone loss. Due to their stay in zero gravity for long time-periods, astronauts suffer loss in bone mass. "(NASA astronaut) Jessica Watkins started her day partnering with NASA Flight Engineer Bob Hines for an investigation that explores how weightlessness affects dexterous manipulation. The duo took turns seated in a unique apparatus inside the Columbus laboratory module to help scientists understand how astronauts grip and manipulate objects in space. Insights may inform the design of intelligent spacecraft interfaces and provide a deeper understanding of the human nervous system," NASA said. You can now write for wionews.com and be a part of the community. Share your stories and opinions with us here. WATCH WION LIVE HERE ×

Astronauts aboard ISS conduct experiment using AI 

China claims to have built an artificial intelligence that can read facial expressions and brain waves to gauge how attentive Communist Party members are to “thought and political education”. Molly Gambhir tells you all about this new tool.

WION Fineprint | China Taps AI to Gauge ‘Loyalty’ of Party Members

Scientists have developed an Artificial Intelligence (AI) that can automatically identify and count distress signals of chickens. They say that the new technology can be made available within five years so that farmers can save the lives of these birds.

Researchers claim that the AI, which detects and quantifies distress calls made by chickens housed in huge indoor sheds, can correctly distinguish distress calls from other barn noises with 97 per cent accuracy.

In their early life, chicks utter distress calls—high-pitched, repetitive chirps—to attract the mother hen’s attention for food or in distress. But in a commercial chicken farm, it can be difficult to pick up when they’re uncomfortable, socially isolated, or hungry. Answering these calls can be the difference between life and death.

To improve these efforts, researchers at the City University of Hong Kong recorded the vocalisations of chickens housed at Lingfeng Poultry Ltd., a major poultry producer in China’s Guangxi province.

The birds were kept in stacked cages (three cages per stack, and 13 to 20 individuals per cage), with about 2000 to 2500 chickens in each barn.

Over the course of a year, the researchers recorded the environment, picking up everything from natural farm sounds such as workers hosing down barn floors to the chick distress calls.

They then transformed all of these noises into sound pictures known as spectrograms and used the images to train a type of AI program called deep learning.

“Chickens are very vocal, but the distress call tends to be louder than the others, and is what we would describe as a pure tonal call,” The Guardian quoted Alan McElligott, an associate professor of animal behaviour and welfare at the City University of Hong Kong.

&nbsp;“Even to the untrained ear, it’s not too difficult to pick them out.”

(With inputs from agencies)

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Scientists have developed an Artificial Intelligence (AI) that can automatically identify and count distress signals of chickens. They say that the new technology can be made available within five years so that farmers can save the lives of these birds.

Scientists have developed an Artificial Intelligence (AI) that can automatically identify and count distress signals of chickens. They say that the new technology can be made available within five years so that farmers can save the lives of these birds. Researchers claim that the AI, which detects and quantifies distress calls made by chickens housed in huge indoor sheds, can correctly distinguish distress calls from other barn noises with 97 per cent accuracy. In their early life, chicks utter distress calls—high-pitched, repetitive chirps—to attract the mother hen’s attention for food or in distress. But in a commercial chicken farm, it can be difficult to pick up when they’re uncomfortable, socially isolated, or hungry. Answering these calls can be the difference between life and death. To improve these efforts, researchers at the City University of Hong Kong recorded the vocalisations of chickens housed at Lingfeng Poultry Ltd., a major poultry producer in China’s Guangxi province. The birds were kept in stacked cages (three cages per stack, and 13 to 20 individuals per cage), with about 2000 to 2500 chickens in each barn. Over the course of a year, the researchers recorded the environment, picking up everything from natural farm sounds such as workers hosing down barn floors to the chick distress calls. They then transformed all of these noises into sound pictures known as spectrograms and used the images to train a type of AI program called deep learning. “Chickens are very vocal, but the distress call tends to be louder than the others, and is what we would describe as a pure tonal call,” The Guardian quoted Alan McElligott, an associate professor of animal behaviour and welfare at the City University of Hong Kong. “Even to the untrained ear, it’s not too difficult to pick them out.” (With inputs from agencies) WATCH WION LIVE HERE

Scientists develop AI that can gauge distress signals of baby chickens

In Pics: This AI-piloted flying hotel never lands, offers memorable experience

Now in a bid to check if users are over 13, social media giant Instagram is using AI to verify user age. Instagram is enforcing new user age restrictions.

Instagram using AI to verify user age in a bid to check if users are over 13

Artificial Intelligence-based robots have been introduced at the Coimbatore airport aimed at providing a better experience to flyers by the Airport Authority of India (AAI). Passengers will be able to avail many airport services through them, according to AAI.

The robots move within the airport terminal building and approach passengers to greet them and ask if they need assistance. They can also take navigation help from the robots to get to their desired locations within the airport.

The AAI wrote on Twitter, “#AAI believes that innovation plays a significant role in civil aviation sector &amp; can change the way airports function and provide better facilities to air travellers. #AAI's #Coimbatore @aaicbeairport introduces AI-based robots to provide enhanced airport experiences to flyers.”&nbsp;

The AAI also shared pictures of robots and passengers interacting with it.

“The robots will move within the airport terminal bldg. floor and approach passengers, greet them and ask if they need any information. Through them, passengers will be able to get many airport services and navigation help to their desired locations within the airport,” it added.

Also Read:&nbsp;<a href="https://www.wionews.com/world/obama-pence-planned-parenthood-react-to-overturn-of-us-top-courts-1973-roe-vs-wade-judgement-491452">Roe vs Wade overturned: Biden, Obama, Planned Parenthood react to US top court judgement</a>

These AI-powered robots can also connect flyers to the airport staff through video calls if they need them. With this, AAI is bringing the Help Desk to the passenger rather than passengers approaching the help desk. The facility is being appreciated by all.

Replying to these tweets by AAI, some twitteratis responded by praising Jyotiraditya Scindia for “liberalising reforms &nbsp;&amp; transforming aviation where innovation can flourish”, as he is the incumbent Minister of Civil Aviation at the moment.

(with inputs from agencies)

 
&nbsp;

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Artificial Intelligence-based robots have been introduced at the Coimbatore airport aimed at providing a better experience to flyers by the Airport Authority of India (AAI).

Artificial Intelligence-based robots have been introduced at the Coimbatore airport aimed at providing a better experience to flyers by the Airport Authority of India (AAI). Passengers will be able to avail many airport services through them, according to AAI. The robots move within the airport terminal building and approach passengers to greet them and ask if they need assistance. They can also take navigation help from the robots to get to their desired locations within the airport. The AAI wrote on Twitter, “#AAI believes that innovation plays a significant role in civil aviation sector & can change the way airports function and provide better facilities to air travellers. #AAI's #Coimbatore @aaicbeairport introduces AI-based robots to provide enhanced airport experiences to flyers.” The AAI also shared pictures of robots and passengers interacting with it. “The robots will move within the airport terminal bldg. floor and approach passengers, greet them and ask if they need any information. Through them, passengers will be able to get many airport services and navigation help to their desired locations within the airport,” it added. Also Read: Roe vs Wade overturned: Biden, Obama, Planned Parenthood react to US top court judgement These AI-powered robots can also connect flyers to the airport staff through video calls if they need them. With this, AAI is bringing the Help Desk to the passenger rather than passengers approaching the help desk. The facility is being appreciated by all. Replying to these tweets by AAI, some twitteratis responded by praising Jyotiraditya Scindia for “liberalising reforms & transforming aviation where innovation can flourish”, as he is the incumbent Minister of Civil Aviation at the moment. (with inputs from agencies) WATCH WION LIVE HERE You can now write for wionews.com and be a part of the community. Share your stories and opinions with us here.

AI-based robots at Coimbatore airport will now connect flyers to airport staff through video calls

One of Microsoft's AI-powered facial analysis products, which purports to determine emotions based on videos and images of participants, is apparently being phased out of public access. Because there are no universal facial expressions, and even if there were, they would vary between groups, and because it is blatantly unscientific to "equate exterior displays of emotion with inside feelings," experts have long criticised such "emotion recognition" programmes.

Professor of psychology at Northeastern University, Lisa Feldman Barrett, told The Verge that while AI-powered emotion identification programmes may recognise frowns, "that's not the same as recognising fury." The topic of AI-based emotion recognition has been reviewed by Barrett.

The decision by Microsoft to discontinue this specific product is a part of a "bigger revision" of the organization's AI ethics guidelines.

In order to stress accountability and "find out who utilises its services and stronger human control into where these technologies are employed," the corporation has updated its Responsible AI Standards, which were first presented in 2019.

What does this mean, then?

Microsoft will first remove some parts of its facial recognition services from "Azure Face" and restrict access to others. Users will now need to apply to utilise Azure Face and provide specific information about their deployment plans to Microsoft. However, some use cases, such as the automated face blurring in pictures and videos, will continue to be available to everyone.

Microsoft is also retiring Azure Face’s ability to identify attributes like gender, smile, age, hair, facial hair, and makeup.

"Experts inside and outside the company have highlighted the lack of scientific consensus on the definition of ‘emotions,’ the challenges in how inferences generalise across use cases, regions, and demographics, and the heightened privacy concerns around this type of capability," wrote Microsoft’s chief responsible AI officer, Natasha Crampton, in a blog.

According to the corporation, existing users will lose access to these capabilities starting on June 30, 2023, while new customers will no longer be able to take advantage of them starting on June 21.

The twist is now here. Microsoft is ending "public" access to these tools, but they will still be used in "at least one of its own products," according to the company. For people who are blind, this product is an app called Seeing AI that "uses machine vision to describe the world."

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One of Microsoft's AI-powered facial analysis products, which purports to determine emotions based on videos and images of participants, is apparently being phased out of public access.

One of Microsoft's AI-powered facial analysis products, which purports to determine emotions based on videos and images of participants, is apparently being phased out of public access. Because there are no universal facial expressions, and even if there were, they would vary between groups, and because it is blatantly unscientific to "equate exterior displays of emotion with inside feelings," experts have long criticised such "emotion recognition" programmes. Professor of psychology at Northeastern University, Lisa Feldman Barrett, told The Verge that while AI-powered emotion identification programmes may recognise frowns, "that's not the same as recognising fury." The topic of AI-based emotion recognition has been reviewed by Barrett. The decision by Microsoft to discontinue this specific product is a part of a "bigger revision" of the organization's AI ethics guidelines. In order to stress accountability and "find out who utilises its services and stronger human control into where these technologies are employed," the corporation has updated its Responsible AI Standards, which were first presented in 2019. What does this mean, then? Microsoft will first remove some parts of its facial recognition services from "Azure Face" and restrict access to others. Users will now need to apply to utilise Azure Face and provide specific information about their deployment plans to Microsoft. However, some use cases, such as the automated face blurring in pictures and videos, will continue to be available to everyone. Microsoft is also retiring Azure Face’s ability to identify attributes like gender, smile, age, hair, facial hair, and makeup. "Experts inside and outside the company have highlighted the lack of scientific consensus on the definition of ‘emotions,’ the challenges in how inferences generalise across use cases, regions, and demographics, and the heightened privacy concerns around this type of capability," wrote Microsoft’s chief responsible AI officer, Natasha Crampton, in a blog. According to the corporation, existing users will lose access to these capabilities starting on June 30, 2023, while new customers will no longer be able to take advantage of them starting on June 21. The twist is now here. Microsoft is ending "public" access to these tools, but they will still be used in "at least one of its own products," according to the company. For people who are blind, this product is an app called Seeing AI that "uses machine vision to describe the world." WATCH WION LIVE HERE You can now write for wionews.com and be a part of the community. Share your stories and opinions with us here.

AI ethics overhaul: Microsoft to phase out public access to controversial facial recognition tool

Is the world ready for AI with emotional intelligence? A Google engineer says its AI 'Sentient'. Google, however, has sidelined the engineer for 'sentient' claims.

Do robots have feelings? Google engineer says its AI 'Sentient'

Artificial intelligence has already become a huge force in the world of technology but now, it looks like AI can be finding its footing in the world of art as well. On the occasion of the platinum jubilee celebrations of the Queen of England, the robot artist known as Ai-Da has created a portrait for the monarch. The portrait came out to be quite close to the Queen’s likeness with her trademark expression and also her pearls featuring quite prominently. Aidan Meller, the creator of Ai-da, also pointed out that the portrait is a symbol of how the world has changed during the Queen’s lifetime.

Also read |&nbsp;<a href="https://www.wionews.com/world/transgender-actor-and-activist-laverne-cox-honoured-with-her-own-barbie-doll-482607">Transgender actor and activist Laverne Cox honoured with her own Barbie doll</a>

“I’d like to thank Her Majesty the Queen for her dedication, and for the service she gives to so many people. She is an outstanding, courageous woman who is utterly committed to public service.”

This was the message from “the world’s first ultra-realistic humanoid robot artist” that made use of the artificial technology to create the portrait – something that was unimaginable few years ago.

Also read |&nbsp;<a href="https://www.wionews.com/world/russia-china-utilise-veto-power-to-halt-us-bid-to-punish-north-korea-over-its-missile-launches-482495" hreflang="en">China, Russia veto US push for more UN sanctions on North Korea</a>

According to The Guardian, Ai-Da was created by a team of programmers, roboticists, art experts and psychologists back in 2019 and in 2022, it held her first exhibition at the 2022 Venice Biennale.

While the artificial intelligence technology has failed to understand emotions as a part of its programming till now, the makers of the robot said that “it is possible to train [a] machine learning system to learn to recognise emotional facial expressions” which in turn helps it to create art.

Artificial intelligence has already become a huge force in the world of technology but now, it looks like AI can be finding its footing in the world of art as well.

Artificial intelligence has already become a huge force in the world of technology but now, it looks like AI can be finding its footing in the world of art as well. On the occasion of the platinum jubilee celebrations of the Queen of England, the robot artist known as Ai-Da has created a portrait for the monarch. The portrait came out to be quite close to the Queen’s likeness with her trademark expression and also her pearls featuring quite prominently. Aidan Meller, the creator of Ai-da, also pointed out that the portrait is a symbol of how the world has changed during the Queen’s lifetime. Also read | Transgender actor and activist Laverne Cox honoured with her own Barbie doll “I’d like to thank Her Majesty the Queen for her dedication, and for the service she gives to so many people. She is an outstanding, courageous woman who is utterly committed to public service.” This was the message from “the world’s first ultra-realistic humanoid robot artist” that made use of the artificial technology to create the portrait – something that was unimaginable few years ago. Also read | China, Russia veto US push for more UN sanctions on North Korea According to The Guardian, Ai-Da was created by a team of programmers, roboticists, art experts and psychologists back in 2019 and in 2022, it held her first exhibition at the 2022 Venice Biennale. While the artificial intelligence technology has failed to understand emotions as a part of its programming till now, the makers of the robot said that “it is possible to train [a] machine learning system to learn to recognise emotional facial expressions” which in turn helps it to create art.

Robot artist Ai-Da draws portrait of Queen Elizabeth ahead of Platinum Jubilee

Google last week unveiled its new palette of 10 skin tones which is touted to be a step forward in making AI serve people of colour better.

When it launched the new Monk Skin Tone Scale, Google's parent company Alphabet Inc said that the palette would replace a flawed standard of six colors known as the Fitzpatrick Skin Type, which had become popular in the tech industry to assess whether smartwatch heart-rate sensors, artificial intelligence systems including facial recognition and other offerings show color bias.

Tech researchers acknowledged that Fitzpatrick underrepresented people with darker skin. Reuters exclusively reported last year that Google was developing an alternative.

To develop the new palette, Google partnered with Harvard University sociologist Ellis Monk. He studied colorism and &nbsp;had felt dehumanized by cameras that failed to detect his face and reflect his skin tone.

Monk said Fitzpatrick is great for classifying differences among lighter skin. But most people are darker, so he wanted a scale that "does better job for the majority of world," he said.

Monk through Photoshop and other digital art tools curated 10 tones - a manageable number for people who help train and assess AI systems. He and Google surveyed around 3,000 people across the United States and found that a significant number said a 10-point scale matched their skin as well as a 40-shade palette did.

Tulsee Doshi, head of product for Google's responsible AI team, called the Monk scale "a good balance between being representative and being tractable."

Google is already applying it. Beauty-related Google Images searches such as "bridal makeup looks" now allow filtering results based on Monk. Image searches such as "cute babies" now show photos with varying skin tones.

(With inputs from agencies)

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Google last week unveiled its new palette of 10 skin tones which is touted to be a step forward in making AI serve people of colour better. When it launched the new Monk Skin Tone Scale, Google's parent company Alphabet Inc said that the palette would replace a flawed standard of six colors known as the Fitzpatrick Skin Type, which had become popular in the tech industry to assess whether smartwatch heart-rate sensors, artificial intelligence systems including facial recognition and other offerings show color bias.

Google last week unveiled its new palette of 10 skin tones which is touted to be a step forward in making AI serve people of colour better. When it launched the new Monk Skin Tone Scale, Google's parent company Alphabet Inc said that the palette would replace a flawed standard of six colors known as the Fitzpatrick Skin Type, which had become popular in the tech industry to assess whether smartwatch heart-rate sensors, artificial intelligence systems including facial recognition and other offerings show color bias. Tech researchers acknowledged that Fitzpatrick underrepresented people with darker skin. Reuters exclusively reported last year that Google was developing an alternative. To develop the new palette, Google partnered with Harvard University sociologist Ellis Monk. He studied colorism and had felt dehumanized by cameras that failed to detect his face and reflect his skin tone. Monk said Fitzpatrick is great for classifying differences among lighter skin. But most people are darker, so he wanted a scale that "does better job for the majority of world," he said. Monk through Photoshop and other digital art tools curated 10 tones - a manageable number for people who help train and assess AI systems. He and Google surveyed around 3,000 people across the United States and found that a significant number said a 10-point scale matched their skin as well as a 40-shade palette did. Tulsee Doshi, head of product for Google's responsible AI team, called the Monk scale "a good balance between being representative and being tractable." Google is already applying it. Beauty-related Google Images searches such as "bridal makeup looks" now allow filtering results based on Monk. Image searches such as "cute babies" now show photos with varying skin tones. (With inputs from agencies) WATCH WION LIVE HERE ×

What is Google's Monk Skin Tone Scale? How will it detect AI bias?

Google has added 24 more languages to its Google Translate language translation tool. Translate currently covers a total of 133 languages used around the world.&nbsp;

New Indian languages being introduced include Assamese, Bhojpuri, Sanskrit, Dogri, Konkani, Meiteilon (Manipuri), Mizo, and Maithili.

Google is also adding Quechua (Peru, Bolivia, Ecuador), Guarani (Paraguay and Bolivia, Brazil and Argentina), and Aymara (Bolivia, Peru, and Chile) to the service for the first time, as well as an English-based Dialect Krio (Sierra Leone).

On May 11, Google Translate users will start getting these new languages, with all users having access by the end of the week.

Also read |&nbsp;<a href="https://www.wionews.com/technology/last-resort-dating-apps-maker-match-sues-google-for-refusing-to-share-almost-30-of-their-sales-477783">'Last resort': Dating apps maker Match sues Google for refusing to share almost 30% of their sales</a>

The list of languages also includes Ewe (Ghana and Tongo), Kurdish (Iraq), Sepedi (South Africa), Twi (Ghana), Oromo (Ethiopia and Kenya), Tsonga (Eswatini, South Africa, Zimbabwe and Mozambique).

According to the company, more than 300 million people speak these languages as their first or second language. It further added that these languages are also the first ones added by Google utilising a translation known as Zero-Shot Machine translation, a learning model that translates any test into another language by just viewing the texts.&nbsp;

Full list of 24 new languages added to Google Translate

Assamese (used by about 25 million people in Northeast India)

Aymara (used by about two million people in Bolivia, Chile and Peru)

Bambara (used by about 14 million people in Mali)

Bhojpuri (used by about 50 million people in northern India, Nepal and Fiji)

Dhivehi (used by about 300,000 people in the Maldives)

Dogri (used by about three million people in northern India)

Ewe (used by about seven million people in Ghana and Togo)

Guarani (used by about seven million people in Paraguay and Bolivia, Argentina and Brazil)

Ilocano (used by about 10 million people in northern Philippines)

Konkani (used by about two million people in Central India)

Krio (used by about four million people in Sierra Leone)

Kurdish (Sorani) (used by about eight million people, mostly in Iraq)

Lingala, used by about 45 million people in the Democratic Republic of the Congo, Republic of the Congo, Central African Republic, Angola and the Republic of South Sudan

Luganda (used by about 20 million people in Uganda and Rwanda)

Maithili (used by about 34 million people in northern India)

Meiteilon (Manipuri) (used by about two million people in Northeast India)

Mizo (used by about 830,000 people in Northeast India)

Oromo (used by about 37 million people in Ethiopia and Kenya)

Quechua (used by about 10 million people in Peru, Bolivia, Ecuador and surrounding countries)

Sanskrit (used by about 20,000 people in India)

Sepedi (used by about 14 million people in South Africa)

Tigrinya (used by about eight million people in Eritrea and Ethiopia)

Tsonga (used by about seven million people in Eswatini, Mozambique, South Africa and Zimbabwe)

Twi (used by about 11 million people in Ghana)

Watch |&nbsp;Tech giant Google to ban third-party call recording application

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Sundar Pichai, the CEO of Alphabet, in his speech said, “"There is a long tail of languages that are underrepresented on the web today and translating them is a hard technical problem since translation models are usually trained with bilingual text. However, there is not enough publicly available bilingual text for every language.”&nbsp;

Also read |&nbsp;<a href="https://www.wionews.com/technology/apple-google-and-microsoft-working-on-passwordless-future-477217">Apple, Google and Microsoft working on 'passwordless future'</a>

Because this is a new technology, Google chose to focus on languages with significant speaker populations and locations where technology is typically reserved, which led to work on a number of languages in Africa and India due to the presence of vast linguistic and ethnic groupings.

In a blog post, the business stated that while the technology isn't perfect now, they will continue to work on models to give the similar experience with existing languages.

WATCH WION LIVE HERE:&nbsp;

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(With inputs from agencies) 
&nbsp;

Google has added 24 more languages to its Google Translate language translation tool. Translate currently covers a total of 133 languages used around the world. New Indian languages being introduced include Assamese, Bhojpuri, Sanskrit, Dogri, Konkani, Meiteilon (Manipuri), Mizo, and Maithili.

Google has added 24 more languages to its Google Translate language translation tool. Translate currently covers a total of 133 languages used around the world. New Indian languages being introduced include Assamese, Bhojpuri, Sanskrit, Dogri, Konkani, Meiteilon (Manipuri), Mizo, and Maithili. Google is also adding Quechua (Peru, Bolivia, Ecuador), Guarani (Paraguay and Bolivia, Brazil and Argentina), and Aymara (Bolivia, Peru, and Chile) to the service for the first time, as well as an English-based Dialect Krio (Sierra Leone). On May 11, Google Translate users will start getting these new languages, with all users having access by the end of the week. Also read | 'Last resort': Dating apps maker Match sues Google for refusing to share almost 30% of their sales The list of languages also includes Ewe (Ghana and Tongo), Kurdish (Iraq), Sepedi (South Africa), Twi (Ghana), Oromo (Ethiopia and Kenya), Tsonga (Eswatini, South Africa, Zimbabwe and Mozambique). According to the company, more than 300 million people speak these languages as their first or second language. It further added that these languages are also the first ones added by Google utilising a translation known as Zero-Shot Machine translation, a learning model that translates any test into another language by just viewing the texts. Full list of 24 new languages added to Google Translate Assamese (used by about 25 million people in Northeast India) Aymara (used by about two million people in Bolivia, Chile and Peru) Bambara (used by about 14 million people in Mali) Bhojpuri (used by about 50 million people in northern India, Nepal and Fiji) Dhivehi (used by about 300,000 people in the Maldives) Dogri (used by about three million people in northern India) Ewe (used by about seven million people in Ghana and Togo) Guarani (used by about seven million people in Paraguay and Bolivia, Argentina and Brazil) Ilocano (used by about 10 million people in northern Philippines) Konkani (used by about two million people in Central India) Krio (used by about four million people in Sierra Leone) Kurdish (Sorani) (used by about eight million people, mostly in Iraq) Lingala, used by about 45 million people in the Democratic Republic of the Congo, Republic of the Congo, Central African Republic, Angola and the Republic of South Sudan Luganda (used by about 20 million people in Uganda and Rwanda) Maithili (used by about 34 million people in northern India) Meiteilon (Manipuri) (used by about two million people in Northeast India) Mizo (used by about 830,000 people in Northeast India) Oromo (used by about 37 million people in Ethiopia and Kenya) Quechua (used by about 10 million people in Peru, Bolivia, Ecuador and surrounding countries) Sanskrit (used by about 20,000 people in India) Sepedi (used by about 14 million people in South Africa) Tigrinya (used by about eight million people in Eritrea and Ethiopia) Tsonga (used by about seven million people in Eswatini, Mozambique, South Africa and Zimbabwe) Twi (used by about 11 million people in Ghana) Watch | Tech giant Google to ban third-party call recording application Sundar Pichai, the CEO of Alphabet, in his speech said, “"There is a long tail of languages that are underrepresented on the web today and translating them is a hard technical problem since translation models are usually trained with bilingual text. However, there is not enough publicly available bilingual text for every language.” Also read | Apple, Google and Microsoft working on 'passwordless future' Because this is a new technology, Google chose to focus on languages with significant speaker populations and locations where technology is typically reserved, which led to work on a number of languages in Africa and India due to the presence of vast linguistic and ethnic groupings. In a blog post, the business stated that while the technology isn't perfect now, they will continue to work on models to give the similar experience with existing languages. WATCH WION LIVE HERE: (With inputs from agencies)

Google Translate adds 24 languages and dialects, including Sanskrit and Bhojpuri

It has been two years since the covid-19 pandemic began in the March of 2020. There have been a number of changes since then in the world of Human Resources and hiring. The workers have worked into remote and hybrid forms of working and the recent professional changes including resignation working from home and remote recruitment- all stare at a dramatic shift.

Tech including AI increasingly used for Human Resources and Hiring

Ukraine is using facial recognition software with AI to identify dead Russian soldiers. Concerns of racial bias mount over its use.

Ukraine uses facial recognition software with AI to identify dead Russian soldiers

Scientists have come up with Alexa for animals- Robots that can understand whale songs, and calls of over 3,000 bird species. Palki Sharma brings you a report.

Gravitas: What if you could understand the language of animals? AI can do that now

Scientists have come up with a technology that can understand animals. Yes, you heard it right, Alexa for animals- Robots can understand whale songs, and much more.

Alexa for Animals: Tech is helping humans understand the animal kingdom

Have you ever wondered what if humans are able to communicate with animals and birds? With the help of the artificial intelligence (AI) algorithm, scientists recently revealed that they translated pig grunts into emotions for the first time. It could help them monitor animal wellbeing.&nbsp;

Experts have claimed that the research, which was led by the University of Copenhagen, the ETH Zurich and France's National Research Institute for Agriculture, Food and Environment (INRAE) could also be used to better understand the emotions of other mammals.&nbsp;

It looks like researchers are already working on it. As per a report published by The Wall Street Journal, it has been revealed that researchers are using AI to parse the "speech" of animals.&nbsp;

ALSO READ |&nbsp;<a href="https://www.wionews.com/world/turn-garbage-into-gold-uks-royal-mint-planning-to-extract-precious-metals-from-e-waste-464828">Turn garbage into gold: UK's Royal Mint planning to extract precious metals from e-waste</a>

The method will help scientists to create systems that decode animal sounds. For example, such algorithms might help to detect and monitor whale songs. So that the nearby ships can be alerted to avoid collisions.&nbsp;

As quoted by WSJ, Oren Etzioni, who is an AI researcher and head of the Allen Institute for AI, said, "It is fascinating that the tools of artificial intelligence, specifically deep learning, which is the hot new thing, do seem to be the natural tools to study this other kind of 'A.I.'—animal intelligence." Allen Institute for AI is a nonprofit, which was set up by the late Microsoft co-founder Paul Allen.&nbsp;

The report added that researchers on animal communication are using a branch of AI that "self-supervised learning". In recent years, self-supervised learning has proven effective for handling human language.&nbsp;

Self-supervised learning (SSL) is a method of machine learning. It learns from unlabeled sample data. It can be regarded as an intermediate form between supervised and unsupervised learning. It is based on an artificial neural network.

ALSO READ |&nbsp;<a href="https://www.wionews.com/science/decoding-pigs-emotions-scientists-can-now-tell-if-the-animal-is-happy-or-sad-464604">Decoding emotions: Scientists can now tell if a pig is happy or sad</a>

As per the report, "self-supervised learning" shows promise as a way to process the immense quantities of recordings of animal communication, captured in laboratories as well as natural environments.&nbsp;

With constant advancements in technology, there's is no exaggeration in saying that such results, where humans will be able to communicate with animals,&nbsp;are achievable in near future.&nbsp;

We have seen certain examples, researchers at Cornell University and the Chemnitz University of Technology in Germany had developed an AI-based system, called BirdNET that can now recognise the calls of more than 3,000 different species of birds. &nbsp;

Have you ever wondered what if humans are able to communicate with animals and birds? With the help of the artificial intelligence (AI) algorithm, scientists recently revealed that they translated pig grunts into emotions for the first time.

Have you ever wondered what if humans are able to communicate with animals and birds? With the help of the artificial intelligence (AI) algorithm, scientists recently revealed that they translated pig grunts into emotions for the first time. It could help them monitor animal wellbeing. Experts have claimed that the research, which was led by the University of Copenhagen, the ETH Zurich and France's National Research Institute for Agriculture, Food and Environment (INRAE) could also be used to better understand the emotions of other mammals. It looks like researchers are already working on it. As per a report published by The Wall Street Journal, it has been revealed that researchers are using AI to parse the "speech" of animals. ALSO READ | Turn garbage into gold: UK's Royal Mint planning to extract precious metals from e-waste The method will help scientists to create systems that decode animal sounds. For example, such algorithms might help to detect and monitor whale songs. So that the nearby ships can be alerted to avoid collisions. As quoted by WSJ, Oren Etzioni, who is an AI researcher and head of the Allen Institute for AI, said, "It is fascinating that the tools of artificial intelligence, specifically deep learning, which is the hot new thing, do seem to be the natural tools to study this other kind of 'A.I.'—animal intelligence." Allen Institute for AI is a nonprofit, which was set up by the late Microsoft co-founder Paul Allen. The report added that researchers on animal communication are using a branch of AI that "self-supervised learning". In recent years, self-supervised learning has proven effective for handling human language. Self-supervised learning (SSL) is a method of machine learning. It learns from unlabeled sample data. It can be regarded as an intermediate form between supervised and unsupervised learning. It is based on an artificial neural network. ALSO READ | Decoding emotions: Scientists can now tell if a pig is happy or sad As per the report, "self-supervised learning" shows promise as a way to process the immense quantities of recordings of animal communication, captured in laboratories as well as natural environments. With constant advancements in technology, there's is no exaggeration in saying that such results, where humans will be able to communicate with animals, are achievable in near future. We have seen certain examples, researchers at Cornell University and the Chemnitz University of Technology in Germany had developed an AI-based system, called BirdNET that can now recognise the calls of more than 3,000 different species of birds.

What do those meowing and neighing mean? Will artificial intelligence tell us how animals communicate?

A new model of artificial intelligence has shown hidden turbulence in the atmosphere of the Sun.

The research, published in Astronomy &amp; Astrophysics, shows multi-scale deep learning for estimating horizontal velocity fields on the solar surface.

The sun,&nbsp;essentially a hot ball of hydrogen and helium,&nbsp;is an average-sized star that formed more than 4.5 billion years ago and is roughly halfway through its lifespan.&nbsp;

Its diametre is about 864,000 miles (1.4 million km). Its surface temperature is about 10,000 degrees Fahrenheit (5,500 degrees Celsius).

Also see |&nbsp;<a href="https://www.wionews.com/photos/why-has-space-business-has-become-the-final-profitable-frontier-452928" hreflang="en">Why has space business has become the final profitable frontier?</a>

"We developed a novel convolutional neural network to estimate the spatial distribution of horizontal velocity by using the spatial distributions of temperature and vertical velocity," wrote a team of researchers led by astronomer Ryohtaroh Ishikawa of the National Astronomical Observatory of Japan.

"This led to efficient detection of spatially spread features and concentrated features. [..] Our network exhibited a higher performance on almost all the spatial scales when compared to those reported in previous studies."

Also read |&nbsp;<a href="https://www.wionews.com/science/astronomers-map-1-million-space-objects-that-have-never-been-spotted-before-456863" hreflang="en">Astronomers map 1 million space objects that have never been spotted before</a>

Elevated magnetic activity associated with sunspots can lead to solar flares, coronal mass ejections - large expulsions of plasma and magnetic field from the outermost part of the sun’s atmosphere - and other electromagnetic phenomena that can affect Earth, for example disrupting satellites and communications and endangering astronauts.

"By comparing the results of the three convection models, we observed that the rapid decrease in coherence spectrum occurred on the scales that were lower than the energy injection scales, which were characterized by the peaks of the power spectra of the vertical velocities. This implies that the network was not appropriately trained to reproduce the velocity fields in small scales generated by turbulent cascades," they wrote in their paper.

"These challenges can be explored in future studies."

The researchers compared data on similar stars to historical records of the sun’s activity. These records included about 400 years of observational data on sunspots and about 9,000 years of data based on chemical element variants in tree rings and ice cores caused by solar activity. These records indicated the sun has not been much more active than it is now. 
&nbsp;

(With inputs from agencies)

A new model of artificial intelligence has shown hidden turbulence in the atmosphere of the Sun. The research, published in Astronomy & Astrophysics, shows multi-scale deep learning for estimating horizontal velocity fields on the solar surface.

A new model of artificial intelligence has shown hidden turbulence in the atmosphere of the Sun. The research, published in Astronomy & Astrophysics, shows multi-scale deep learning for estimating horizontal velocity fields on the solar surface. The sun, essentially a hot ball of hydrogen and helium, is an average-sized star that formed more than 4.5 billion years ago and is roughly halfway through its lifespan. Its diametre is about 864,000 miles (1.4 million km). Its surface temperature is about 10,000 degrees Fahrenheit (5,500 degrees Celsius). Also see | Why has space business has become the final profitable frontier? "We developed a novel convolutional neural network to estimate the spatial distribution of horizontal velocity by using the spatial distributions of temperature and vertical velocity," wrote a team of researchers led by astronomer Ryohtaroh Ishikawa of the National Astronomical Observatory of Japan. "This led to efficient detection of spatially spread features and concentrated features. [..] Our network exhibited a higher performance on almost all the spatial scales when compared to those reported in previous studies." Also read | Astronomers map 1 million space objects that have never been spotted before Elevated magnetic activity associated with sunspots can lead to solar flares, coronal mass ejections - large expulsions of plasma and magnetic field from the outermost part of the sun’s atmosphere - and other electromagnetic phenomena that can affect Earth, for example disrupting satellites and communications and endangering astronauts. "By comparing the results of the three convection models, we observed that the rapid decrease in coherence spectrum occurred on the scales that were lower than the energy injection scales, which were characterized by the peaks of the power spectra of the vertical velocities. This implies that the network was not appropriately trained to reproduce the velocity fields in small scales generated by turbulent cascades," they wrote in their paper. "These challenges can be explored in future studies." The researchers compared data on similar stars to historical records of the sun’s activity. These records included about 400 years of observational data on sunspots and about 9,000 years of data based on chemical element variants in tree rings and ice cores caused by solar activity. These records indicated the sun has not been much more active than it is now. (With inputs from agencies)

New artificial intelligence model shows hidden turbulence in Sun's atmosphere

If you think artificial intelligence (AI) systems are fool-proof, it is time to realise the truth. &nbsp;

An AI algorithm, which is used by YouTube for automatically adding captions to clips, has been mistakenly inserting explicit language in children's videos. &nbsp;

The system, which is known as ASR (Automatic Speech Transcription), has been showing words like beach as bitch, corn as porn and brave as rape, according to a report by Wired. &nbsp;

Also Read:&nbsp;<a href="https://www.wionews.com/world/for-censoring-domestic-media-russian-government-partially-limits-access-to-facebook-456624">For 'censoring' domestic media, Russia partially limits access to Facebook</a>

A team of Rochester Institute of Technology in New York, along with others, sampled around 7,000 videos from 24 top-tier children's channels to track the problem. &nbsp;&nbsp;

Around 40 per cent of the videos sampled had 'inappropriate' words in the captions. One per cent of the videos had highly inappropriate words. &nbsp;&nbsp;

"Well-known automatic speech recognition (ASR) systems may produce text content highly inappropriate for kids while transcribing YouTube Kids’ videos,” the team found. &nbsp;

Also Read:&nbsp;<a href="https://www.wionews.com/science/evidence-of-first-ear-surgery-found-in-5300-year-old-skull-say-archaeologists-454953" hreflang="en">Evidence of first ear surgery found in 5,300-year-old skull, say archaeologists</a>

"We dub this phenomenon as inappropriate content hallucination," they added. &nbsp;&nbsp;

It happens as the AI sometimes mishears what is being said, if it is a thick accent, or a child is speaking and doesn't pronounce properly. &nbsp;&nbsp;

“Our analyses suggest that such hallucinations are far from occasional, and the ASR systems often produce them with high confidence," they further added. &nbsp;&nbsp;

Children under 13 should be using YouTubeKids, where automated captions are turned off, YouTube spokesperson Jessica Gibby told Wired. &nbsp;

In a statement, Gibby told Wired, “We are continually working to improve automatic captions and reduce errors.” &nbsp;

(With inputs from agencies)&nbsp;

If you think artificial intelligence (AI) systems are fool-proof, it is time to realise the truth. An AI algorithm, which is used by YouTube for automatically adding captions to clips, has been mistakenly inserting explicit language in children's videos.

If you think artificial intelligence (AI) systems are fool-proof, it is time to realise the truth. An AI algorithm, which is used by YouTube for automatically adding captions to clips, has been mistakenly inserting explicit language in children's videos. The system, which is known as ASR (Automatic Speech Transcription), has been showing words like beach as bitch, corn as porn and brave as rape, according to a report by Wired. Also Read: For 'censoring' domestic media, Russia partially limits access to Facebook A team of Rochester Institute of Technology in New York, along with others, sampled around 7,000 videos from 24 top-tier children's channels to track the problem. Around 40 per cent of the videos sampled had 'inappropriate' words in the captions. One per cent of the videos had highly inappropriate words. "Well-known automatic speech recognition (ASR) systems may produce text content highly inappropriate for kids while transcribing YouTube Kids’ videos,” the team found. Also Read: Evidence of first ear surgery found in 5,300-year-old skull, say archaeologists "We dub this phenomenon as inappropriate content hallucination," they added. It happens as the AI sometimes mishears what is being said, if it is a thick accent, or a child is speaking and doesn't pronounce properly. “Our analyses suggest that such hallucinations are far from occasional, and the ASR systems often produce them with high confidence," they further added. Children under 13 should be using YouTubeKids, where automated captions are turned off, YouTube spokesperson Jessica Gibby told Wired. In a statement, Gibby told Wired, “We are continually working to improve automatic captions and reduce errors.” (With inputs from agencies)

YouTube’s AI algorithm adds explicit language in captions to children's clips

According to new research, fake faces made by artificial intelligence appear more trustworthy to humans than genuine people.

Artificial intelligence and deep learning—an algorithmic learning process used to educate computers – are utilised to create a human who appears authentic, a technology known as a 'deepfake.'

They can also be used to transmit messages that have never been expressed, such as an altered video of Richard Nixon's Apollo 11 presidential address or a phoney Barack Obama attacking Donald Trump.&nbsp;

The account name was the only clear sign that this wasn't the real deal when TikTok videos appeared in 2021 that appeared to depict "Tom Cruise" making a penny disappear and enjoying a lollipop. 
 
Watch | Gravitas: Tom Cruise's deepfake videos raise an alarm

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On the social media platform, the creator of the "deeptomcruise" account was employing "deepfake" technology to present a machine-generated version of the famous actor performing magic tricks and having a solo dance-off.&nbsp;

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In an experiment, participants were asked to classify faces created by the StyleGAN2 algorithm as authentic or artificial.

The participants' success percentage was 48%, which was somewhat lower than flipping a coin.

Participants were trained on how to spot deepfakes using the same data set in a second experiment, but the accuracy rate only improved to 59 percent.

According to research from the University of Oxford, Brown University, and the Royal Society, most individuals are unable to determine if they are viewing a deepfake video, even when they are warned that the content they are watching could have been digitally manipulated.&nbsp;

(With inputs from agencies)

According to new research, fake faces made by artificial intelligence appear more trustworthy to humans than genuine people. Artificial intelligence and deep learning—an algorithmic learning process used to educate computers – are utilised to create a human who appears authentic, a technology known as a 'deepfake.

According to new research, fake faces made by artificial intelligence appear more trustworthy to humans than genuine people. Artificial intelligence and deep learning—an algorithmic learning process used to educate computers – are utilised to create a human who appears authentic, a technology known as a 'deepfake.' They can also be used to transmit messages that have never been expressed, such as an altered video of Richard Nixon's Apollo 11 presidential address or a phoney Barack Obama attacking Donald Trump. The account name was the only clear sign that this wasn't the real deal when TikTok videos appeared in 2021 that appeared to depict "Tom Cruise" making a penny disappear and enjoying a lollipop. Watch | Gravitas: Tom Cruise's deepfake videos raise an alarm On the social media platform, the creator of the "deeptomcruise" account was employing "deepfake" technology to present a machine-generated version of the famous actor performing magic tricks and having a solo dance-off. × In an experiment, participants were asked to classify faces created by the StyleGAN2 algorithm as authentic or artificial. The participants' success percentage was 48%, which was somewhat lower than flipping a coin. Participants were trained on how to spot deepfakes using the same data set in a second experiment, but the accuracy rate only improved to 59 percent. According to research from the University of Oxford, Brown University, and the Royal Society, most individuals are unable to determine if they are viewing a deepfake video, even when they are warned that the content they are watching could have been digitally manipulated. (With inputs from agencies)

Humans believe AI-generated faces are more trustworthy than real-life faces 

An AI-powered device has made it possible for paralysed patients to walk again. The prototype has been tested on 3 patients. All of them could take their steps within the first hour of implant. Palki Sharma brings you a report.

Gravitas Ukraine Direct: Device helps paralysed patients walk again

Soon, the southwest border of the United States could be guarded by four-legged headless robotic dogs, sniffing out smugglers and catching undocumented immigrants.

The US Department of Homeland Security (DHS) this week undertook trials of the 45kg (100-pound), canine machine prototypes in Virginia and Texas borders to test in a variety of surveillance-focused roles.

According to their press release, the DHS said the trials were “successful” and that the work with the machines will continue. However, they didn’t share any timeframe of their deployment.

They said that the Automated Ground Surveillance Vehicles, or the robot dogs, were specifically engineered by the research and development arm of the DHS, the Science and Technology Directorate (S&amp;T), in cooperation with advanced robotics firm Ghost Robotics for the US Customs and Border Protection&nbsp;(CBP).

“The southern border can be an inhospitable place for man and beast, and that is exactly why a machine may excel there,” S&amp;T program manager, Brenda Long said in the release.

<img alt="State-of-the-art tech" data-entity-type="file" data-entity-uuid="b29a861b-7467-4481-a551-1b76ca3e8faf" src="//cdn.wionews.com/sites/default/files/inline-images/Robots%201.jpg" />

“This S&amp;T-led initiative focuses on Automated Ground Surveillance Vehicles, or what we call ‘AGSVs.’ Essentially, the AGSV program is all about…robot dogs.”

The headless hound, built by Ghost Robotic, stands 2.5 feet high (76cm), weighs 70lbs (32kg), and can travel over 7.5 miles (12-km) in 3 hours on a single battery charge.

Gavin Kenneally, the chief product officer at Ghost Robotics, said their robot dog’s legs are so advanced and sensitive that, “It has the ability to feel through its motors and can estimate friction forces and automatically correct for uneven or slippery ground.”

<img alt="To bolster border patrol" data-entity-type="file" data-entity-uuid="8dda8566-1663-40d1-a3de-40249d0c1997" src="//cdn.wionews.com/sites/default/files/inline-images/Robots%203.jpg" />

“It is a rugged, quadruped robot. It traverses all types of natural terrain including sand, rocks, and hills, as well as human-built environments, like stairs. That’s why you want legs, and not tracks,” he said.

This self-correcting ability makes it an ideal platform for off-road operations across multiple environments.

The machine can navigate autonomously or be controlled manually, and can be equipped with a number of payloads, including thermal and night vision cameras.

Soon, the southwest border of the United States could be guarded by four-legged headless robotic dogs, sniffing out smugglers and catching undocumented immigrants.

Soon, the southwest border of the United States could be guarded by four-legged headless robotic dogs, sniffing out smugglers and catching undocumented immigrants. The US Department of Homeland Security (DHS) this week undertook trials of the 45kg (100-pound), canine machine prototypes in Virginia and Texas borders to test in a variety of surveillance-focused roles. According to their press release, the DHS said the trials were “successful” and that the work with the machines will continue. However, they didn’t share any timeframe of their deployment. They said that the Automated Ground Surveillance Vehicles, or the robot dogs, were specifically engineered by the research and development arm of the DHS, the Science and Technology Directorate (S&T), in cooperation with advanced robotics firm Ghost Robotics for the US Customs and Border Protection (CBP). “The southern border can be an inhospitable place for man and beast, and that is exactly why a machine may excel there,” S&T program manager, Brenda Long said in the release. “This S&T-led initiative focuses on Automated Ground Surveillance Vehicles, or what we call ‘AGSVs.’ Essentially, the AGSV program is all about…robot dogs.” The headless hound, built by Ghost Robotic, stands 2.5 feet high (76cm), weighs 70lbs (32kg), and can travel over 7.5 miles (12-km) in 3 hours on a single battery charge. Gavin Kenneally, the chief product officer at Ghost Robotics, said their robot dog’s legs are so advanced and sensitive that, “It has the ability to feel through its motors and can estimate friction forces and automatically correct for uneven or slippery ground.” “It is a rugged, quadruped robot. It traverses all types of natural terrain including sand, rocks, and hills, as well as human-built environments, like stairs. That’s why you want legs, and not tracks,” he said. This self-correcting ability makes it an ideal platform for off-road operations across multiple environments. The machine can navigate autonomously or be controlled manually, and can be equipped with a number of payloads, including thermal and night vision cameras.

US may soon deploy hi-tech robot patrol dogs to guard borders

In what may seem like a rerun of a Hollywood movie, Chinese researchers have claimed to develop an artificial intelligence nanny, which can monitor and take care of embryos as they grow into foetuses in an artificial womb environment. &nbsp;

Does it ring any bells? Well, certainly, you must have witnessed the scene in some big budget movies. Let’s get to the depth of the claim. &nbsp;

The AI system has been developed by researchers in Suzhou, which is located in eastern Jiangsu province of China.&nbsp;

Also Read:&nbsp;<a href="https://www.wionews.com/science/huge-asteroid-to-pass-near-earth-on-february-1-should-we-worry-look-up-to-find-out-449015" hreflang="en">Huge asteroid to pass ‘near’ Earth on February 1. Should we worry? Look up to find out &nbsp;</a>

The findings of the study have been published in the domestic peer-reviewed Journal of Biomedical Engineering last month. &nbsp;

The AI nanny is currently looking after a large number of animal embryos, the researchers said. &nbsp;

The team, which is led by professor Sun Haixuan at the Suzhou Institute of Biomedical Engineering and Technology, a subsidiary of the Chinese Academy of Sciences, said that the artificial womb, or “long-term embryo culture device”, is basically a container where mouse embryos are growing in a line of cubes filled with nutritious fluids. &nbsp;

Also Read:&nbsp;<a href="https://www.wionews.com/science/us-scientists-come-up-with-cheap-covid-test-relying-on-low-tech-kit-smartphone-find-out-how-does-it-work-448699" hreflang="en">US scientists come up with cheap Covid test relying on low-tech kit, smartphone. Find out how does it work</a>

Although the breakthrough may pave the path for the future of childbearing in a country facing low birth rates, it can eliminate the need for a woman to carry her baby as the foetus may grow safely and efficiently outside her body, as per the research paper. &nbsp;&nbsp;

The AI technology also helps the machine detect the smallest signs of change in the embryos and make changes. &nbsp;&nbsp;

The technology would “not only help further understand the origin of life and embryonic development of humans, but also provide a theoretical basis for solving birth defects and other major reproductive health problems”, they added.&nbsp;&nbsp;

(With inputs from agencies)&nbsp;

In what may seem like a rerun of a Hollywood movie, Chinese researchers have claimed to develop an artificial intelligence nanny, which can monitor and take care of embryos as they grow into foetuses in an artificial womb environment.

In what may seem like a rerun of a Hollywood movie, Chinese researchers have claimed to develop an artificial intelligence nanny, which can monitor and take care of embryos as they grow into foetuses in an artificial womb environment. Does it ring any bells? Well, certainly, you must have witnessed the scene in some big budget movies. Let’s get to the depth of the claim. The AI system has been developed by researchers in Suzhou, which is located in eastern Jiangsu province of China. Also Read: Huge asteroid to pass ‘near’ Earth on February 1. Should we worry? Look up to find out The findings of the study have been published in the domestic peer-reviewed Journal of Biomedical Engineering last month. The AI nanny is currently looking after a large number of animal embryos, the researchers said. The team, which is led by professor Sun Haixuan at the Suzhou Institute of Biomedical Engineering and Technology, a subsidiary of the Chinese Academy of Sciences, said that the artificial womb, or “long-term embryo culture device”, is basically a container where mouse embryos are growing in a line of cubes filled with nutritious fluids. Also Read: US scientists come up with cheap Covid test relying on low-tech kit, smartphone. Find out how does it work Although the breakthrough may pave the path for the future of childbearing in a country facing low birth rates, it can eliminate the need for a woman to carry her baby as the foetus may grow safely and efficiently outside her body, as per the research paper. The AI technology also helps the machine detect the smallest signs of change in the embryos and make changes. The technology would “not only help further understand the origin of life and embryonic development of humans, but also provide a theoretical basis for solving birth defects and other major reproductive health problems”, they added. (With inputs from agencies)

Chinese researchers claim to have developed AI nanny. Find out the truth

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