Artificial intelligence is increasingly pervasive and capable but is also very hungry for power. Researchers, including those at the University of Tokyo, have developed a new approach to building physics-based AI—systems that use the natural behavior of physical systems to process information—that dramatically reduces the amount of computation required for them to run. The approach simplifies both how these systems learn and how they are structured. It was demonstrated using an optical computing system that processes information with light and could help pave the way toward faster and more energy-efficient AI hardware.Artificial intelligence is increasingly pervasive and capable but is also very hungry for power. Researchers, including those at the University of Tokyo, have developed a new approach to building physics-based AI—systems that use the natural behavior of physical systems to process information—that dramatically reduces the amount of computation required for them to run. The approach simplifies both how these systems learn and how they are structured. It was demonstrated using an optical computing system that processes information with light and could help pave the way toward faster and more energy-efficient AI hardware.Hardware[#item_full_content]
When you think of archives, you probably think of dusty old boxes of paper documents, photos, diaries, letters and flyers, filed away in storage. But increasingly, our archival materials are digital, and material from the 1980s, 1990s and 2000s is often stored on formats like floppy disks and CD-ROMs.When you think of archives, you probably think of dusty old boxes of paper documents, photos, diaries, letters and flyers, filed away in storage. But increasingly, our archival materials are digital, and material from the 1980s, 1990s and 2000s is often stored on formats like floppy disks and CD-ROMs.[#item_full_content]
Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others, a Rutgers University researcher has found.Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others, a Rutgers University researcher has found.[#item_full_content]
Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others, a Rutgers University researcher has found.Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others, a Rutgers University researcher has found.Computer Sciences[#item_full_content]
Scuba diving places heavy demands on the human body. Divers must constantly overcome water resistance while carrying breathing equipment and other gear, and their underwater time is ultimately limited by both physical endurance and the amount of breathing gas they can carry.Scuba diving places heavy demands on the human body. Divers must constantly overcome water resistance while carrying breathing equipment and other gear, and their underwater time is ultimately limited by both physical endurance and the amount of breathing gas they can carry.[#item_full_content]
Texts generated by large language models, or AI-powered chatbots, exhibit characteristic “personality” traits. Such chatbots can also identify individual personality traits in texts. However, humans are more reliable at distinguishing between human-written and AI-generated texts, according to researchers at the Institute of Psychology at Johannes Gutenberg University Mainz (JGU).Texts generated by large language models, or AI-powered chatbots, exhibit characteristic “personality” traits. Such chatbots can also identify individual personality traits in texts. However, humans are more reliable at distinguishing between human-written and AI-generated texts, according to researchers at the Institute of Psychology at Johannes Gutenberg University Mainz (JGU).[#item_full_content]
Texts generated by large language models, or AI-powered chatbots, exhibit characteristic “personality” traits. Such chatbots can also identify individual personality traits in texts. However, humans are more reliable at distinguishing between human-written and AI-generated texts, according to researchers at the Institute of Psychology at Johannes Gutenberg University Mainz (JGU).Texts generated by large language models, or AI-powered chatbots, exhibit characteristic “personality” traits. Such chatbots can also identify individual personality traits in texts. However, humans are more reliable at distinguishing between human-written and AI-generated texts, according to researchers at the Institute of Psychology at Johannes Gutenberg University Mainz (JGU).Computer Sciences[#item_full_content]
Advances in machine learning and computational imaging are transforming not only how scientists analyze data but how they conduct entire experiments. At U.S. Department of Energy (DOE) user facilities, researchers are integrating machine learning directly into experimental workflows—using it to identify what to measure, reconstruct images as data are collected and rapidly extract scientific information.Advances in machine learning and computational imaging are transforming not only how scientists analyze data but how they conduct entire experiments. At U.S. Department of Energy (DOE) user facilities, researchers are integrating machine learning directly into experimental workflows—using it to identify what to measure, reconstruct images as data are collected and rapidly extract scientific information.Electronics & Semiconductors[#item_full_content]
When a doctor taps just below your kneecap, your lower leg kicks forward automatically. This knee-jerk reflex is one example of the reflexes that play an essential role in human motor control. Now, researchers at Tohoku University have developed a reflex module for musculoskeletal robots that works without electronic sensors or circuits. Using this module, the team reproduced the knee-jerk reflex in a robot and generated bipedal walking.When a doctor taps just below your kneecap, your lower leg kicks forward automatically. This knee-jerk reflex is one example of the reflexes that play an essential role in human motor control. Now, researchers at Tohoku University have developed a reflex module for musculoskeletal robots that works without electronic sensors or circuits. Using this module, the team reproduced the knee-jerk reflex in a robot and generated bipedal walking.[#item_full_content]
The social media we know was once easy to define. Platforms such as Facebook or X were designed to mediate human relationships at scale: sharing stories, forming communities, debating ideas and, increasingly, monetizing attention.The social media we know was once easy to define. Platforms such as Facebook or X were designed to mediate human relationships at scale: sharing stories, forming communities, debating ideas and, increasingly, monetizing attention.Machine learning & AI[#item_full_content]
