Keen to improve India’s abysmal crowd management record at large-scale religious events, organizers of the world’s largest human gathering are using artificial intelligence to try to prevent stampedes.Keen to improve India’s abysmal crowd management record at large-scale religious events, organizers of the world’s largest human gathering are using artificial intelligence to try to prevent stampedes.Hi Tech & Innovation[#item_full_content]

Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer vision. Among the most complex problems is reconstructing 3D models of human hands, a task with wide-ranging applications in robotics, animation, human-computer interaction, and augmented and virtual reality. The difficulty lies in the nature of hands themselves, often obscured while holding objects or contorted into challenging orientations during tasks like grasping.Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer vision. Among the most complex problems is reconstructing 3D models of human hands, a task with wide-ranging applications in robotics, animation, human-computer interaction, and augmented and virtual reality. The difficulty lies in the nature of hands themselves, often obscured while holding objects or contorted into challenging orientations during tasks like grasping.Robotics[#item_full_content]

Studies have long shown that men are more likely to interrupt, particularly when speaking with women. New research by Johns Hopkins engineers reveals that this behavior also extends to AI-powered voice assistants like Alexa and Siri, with men interrupting them almost twice as often as women do. The findings are published in Proceedings of the ACM on Human-Computer Interaction.Studies have long shown that men are more likely to interrupt, particularly when speaking with women. New research by Johns Hopkins engineers reveals that this behavior also extends to AI-powered voice assistants like Alexa and Siri, with men interrupting them almost twice as often as women do. The findings are published in Proceedings of the ACM on Human-Computer Interaction.Consumer & Gadgets[#item_full_content]

The search for long-lost shipwrecks, downed aircraft and even rare species of coral and fish could become easier thanks to an image enhancement technology developed by James Cook University researchers.The search for long-lost shipwrecks, downed aircraft and even rare species of coral and fish could become easier thanks to an image enhancement technology developed by James Cook University researchers.Hi Tech & Innovation[#item_full_content]

Apple pushed out a software update on Thursday which disabled news headlines and summaries generated using artificial intelligence that were lambasted for getting facts wrong.Apple pushed out a software update on Thursday which disabled news headlines and summaries generated using artificial intelligence that were lambasted for getting facts wrong.Business[#item_full_content]

Researchers have developed a fast and accurate flexible optical skin that can be used to read Braille. The advance could not only improve access to information for people who are blind but also help move us closer to a future where accessible and adaptable technology can benefit everyone.Researchers have developed a fast and accurate flexible optical skin that can be used to read Braille. The advance could not only improve access to information for people who are blind but also help move us closer to a future where accessible and adaptable technology can benefit everyone.Engineering[#item_full_content]

Artificial intelligence (AI) once seemed like a fantastical construct of science fiction, enabling characters to deploy spacecraft to neighboring galaxies with a casual command. Humanoid AIs even served as companions to otherwise lonely characters. Now, in the very real 21st century, AI is becoming part of everyday life, with tools like chatbots available and useful for everyday tasks like answering questions, improving writing, and solving mathematical equations.Artificial intelligence (AI) once seemed like a fantastical construct of science fiction, enabling characters to deploy spacecraft to neighboring galaxies with a casual command. Humanoid AIs even served as companions to otherwise lonely characters. Now, in the very real 21st century, AI is becoming part of everyday life, with tools like chatbots available and useful for everyday tasks like answering questions, improving writing, and solving mathematical equations.Software[#item_full_content]

The UK government’s goal to increase public-controlled artificial intelligence computing power twentyfold by 2030 would significantly raise electricity demand. Can renewable energy supply meet it—and still have enough left over to electrify sectors like heating and transport, which must be fully decarbonized by 2050?The UK government’s goal to increase public-controlled artificial intelligence computing power twentyfold by 2030 would significantly raise electricity demand. Can renewable energy supply meet it—and still have enough left over to electrify sectors like heating and transport, which must be fully decarbonized by 2050?Energy & Green Tech[#item_full_content]

Whether on your bank’s website or your telephone provider’s help line, interactions between humans and chatbots have become part of our daily lives. But do we trust them? And what factors influence our trust? Researchers at the University of Basel recently examined these questions.Whether on your bank’s website or your telephone provider’s help line, interactions between humans and chatbots have become part of our daily lives. But do we trust them? And what factors influence our trust? Researchers at the University of Basel recently examined these questions.Consumer & Gadgets[#item_full_content]

Filling gaps in data sets or identifying outliers—that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This artificial intelligence (AI) uses learning methods inspired by large language models. TabPFN learns causal relationships from synthetic data and is therefore more likely to make correct predictions than the standard algorithms that have been used up to now.Filling gaps in data sets or identifying outliers—that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This artificial intelligence (AI) uses learning methods inspired by large language models. TabPFN learns causal relationships from synthetic data and is therefore more likely to make correct predictions than the standard algorithms that have been used up to now.Computer Sciences[#item_full_content]