When I talk to my son, an engineering student, and we have a question or disagreement, he immediately turns to ChatGPT as his primary source of information and confirmation.When I talk to my son, an engineering student, and we have a question or disagreement, he immediately turns to ChatGPT as his primary source of information and confirmation.Machine learning & AI[#item_full_content]

Two years ago, researchers at MIT proposed a provocative idea: As AI models become more powerful, they begin to see the world in the same way. But not everyone was convinced, and now EPFL scientists have shown that the picture is more nuanced.Two years ago, researchers at MIT proposed a provocative idea: As AI models become more powerful, they begin to see the world in the same way. But not everyone was convinced, and now EPFL scientists have shown that the picture is more nuanced.Computer Sciences[#item_full_content]

Have you ever seen birds flying across the sky in shifting, mesmerizing patterns? Or ants using their own bodies to form a living bridge that other ants can walk across?Have you ever seen birds flying across the sky in shifting, mesmerizing patterns? Or ants using their own bodies to form a living bridge that other ants can walk across?Hi Tech & Innovation[#item_full_content]

Starting next year, the Home Office plans to use AI-driven facial age estimation to assess the age of asylum seekers. At the UK border, deciding whether someone is 17 or 19 is a consequential judgment. Get it wrong one way, and a vulnerable child loses legal protections they’re entitled to. But if it’s wrong in the other direction, then an adult enters a system designed for minors.Starting next year, the Home Office plans to use AI-driven facial age estimation to assess the age of asylum seekers. At the UK border, deciding whether someone is 17 or 19 is a consequential judgment. Get it wrong one way, and a vulnerable child loses legal protections they’re entitled to. But if it’s wrong in the other direction, then an adult enters a system designed for minors.Machine learning & AI[#item_full_content]

A University of Manchester student has developed a powerful new ultra-lightweight tool that can turn dark, noisy footage into clear, detailed and usable images. Multinex, a new model for low-light image enhancement (LLIE), was created by Computer Science undergraduate Alexandru Brateanu during his third-year project, working with academic supervisors.A University of Manchester student has developed a powerful new ultra-lightweight tool that can turn dark, noisy footage into clear, detailed and usable images. Multinex, a new model for low-light image enhancement (LLIE), was created by Computer Science undergraduate Alexandru Brateanu during his third-year project, working with academic supervisors.Hi Tech & Innovation[#item_full_content]

Chinese-made humanoid robots are making waves with their ability to do backflips, direct traffic, and even make coffee as the companies developing them seek ways to expand and dominate the market.Chinese-made humanoid robots are making waves with their ability to do backflips, direct traffic, and even make coffee as the companies developing them seek ways to expand and dominate the market.Robotics[#item_full_content]

Anthropic is proposing that the world’s top artificial intelligence companies come up with a coordinated way to pause development of advanced AI systems, warning the technology is improving so quickly there’s a risk humans would lose control.Anthropic is proposing that the world’s top artificial intelligence companies come up with a coordinated way to pause development of advanced AI systems, warning the technology is improving so quickly there’s a risk humans would lose control.Machine learning & AI[#item_full_content]

Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans with more than five fingers on a hand, making it even harder to determine whether photos are authentic. Now, a team of computer scientists in the McKelvey School of Engineering at Washington University in St. Louis has developed a model that can detect fake images by learning which are real.Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans with more than five fingers on a hand, making it even harder to determine whether photos are authentic. Now, a team of computer scientists in the McKelvey School of Engineering at Washington University in St. Louis has developed a model that can detect fake images by learning which are real.Computer Sciences[#item_full_content]

Giving AI a classic psychological test reveals an inherent weakness in LLM decision-making abilities. Suketu Patel and colleagues explored how transformer-based machine attention differs from human attention by testing AI models on the “Stroop task,” in which words for colors are printed in colored ink, and participants are asked to name the ink color of each word while ignoring its meaning.Giving AI a classic psychological test reveals an inherent weakness in LLM decision-making abilities. Suketu Patel and colleagues explored how transformer-based machine attention differs from human attention by testing AI models on the “Stroop task,” in which words for colors are printed in colored ink, and participants are asked to name the ink color of each word while ignoring its meaning.Computer Sciences[#item_full_content]

For the first time, new algorithms may be able to automatically explain why some self-driving cars crash—a question crucial to answer as more autonomous vehicles take to the roads. This new approach, developed by researchers at King’s College London, reviews past events to explain why specific instances of failure happened, in the hope that this can be used to make improvements in the future.For the first time, new algorithms may be able to automatically explain why some self-driving cars crash—a question crucial to answer as more autonomous vehicles take to the roads. This new approach, developed by researchers at King’s College London, reviews past events to explain why specific instances of failure happened, in the hope that this can be used to make improvements in the future.Automotive[#item_full_content]