MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, epidemiology, and environmental sciences.MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, epidemiology, and environmental sciences.[#item_full_content]

Artificial intelligence systems absorb values from their training data. The trouble is that values differ across cultures. So an AI system trained on data from the entire internet won’t work equally well for people from different cultures.Artificial intelligence systems absorb values from their training data. The trouble is that values differ across cultures. So an AI system trained on data from the entire internet won’t work equally well for people from different cultures.[#item_full_content]

After reviewing thousands of benchmarks used in AI development, a Stanford team found that 5% could have serious flaws with far-reaching ramifications.After reviewing thousands of benchmarks used in AI development, a Stanford team found that 5% could have serious flaws with far-reaching ramifications.[#item_full_content]

As the world’s reliance on satellites intensifies, so too does the risk of sophisticated cyberattacks targeting space-based systems and critical infrastructure, with almost 240 cyber hacks targeting the space sector in the past two years.As the world’s reliance on satellites intensifies, so too does the risk of sophisticated cyberattacks targeting space-based systems and critical infrastructure, with almost 240 cyber hacks targeting the space sector in the past two years.[#item_full_content]

Professor Kijung Shin’s research team at the Kim Jaechul Graduate School of AI has developed an AI technology that predicts complex social group behavior by analyzing how individual attributes such as age and role influence group relationships.Professor Kijung Shin’s research team at the Kim Jaechul Graduate School of AI has developed an AI technology that predicts complex social group behavior by analyzing how individual attributes such as age and role influence group relationships.[#item_full_content]

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost and environmental impact of building them.A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost and environmental impact of building them.[#item_full_content]

Realistic digital avatars are becoming increasingly relevant, for example in virtual and augmented reality applications, video conferencing, films and computer games, or in medicine. Researchers at the Max Planck Institute (MPI) for Informatics in Saarbrücken, Germany, are now presenting two novel methods at two of the world’s leading computer graphics conferences, SIGGRAPH and SIGGRAPH Asia. These methods enable the generation of photorealistic full-body avatars and allow head avatars to be controlled using only audio tracks.Realistic digital avatars are becoming increasingly relevant, for example in virtual and augmented reality applications, video conferencing, films and computer games, or in medicine. Researchers at the Max Planck Institute (MPI) for Informatics in Saarbrücken, Germany, are now presenting two novel methods at two of the world’s leading computer graphics conferences, SIGGRAPH and SIGGRAPH Asia. These methods enable the generation of photorealistic full-body avatars and allow head avatars to be controlled using only audio tracks.[#item_full_content]

Developing chips that simulate how the brain works has great promise for AI, robotics, and other fields. But making them so that they’re scalable while providing repeatable results has proven tricky. Now, a Yale-led team of researchers has put forth a solution. The results are published in Nature Communications.Developing chips that simulate how the brain works has great promise for AI, robotics, and other fields. But making them so that they’re scalable while providing repeatable results has proven tricky. Now, a Yale-led team of researchers has put forth a solution. The results are published in Nature Communications.[#item_full_content]

Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features.Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features.[#item_full_content]

Adopting digital twin technology to manage the power consumption of idle devices could save organizations thousands of pounds a year and help reduce their carbon footprint, new research suggests.Adopting digital twin technology to manage the power consumption of idle devices could save organizations thousands of pounds a year and help reduce their carbon footprint, new research suggests.[#item_full_content]