During the First World War, the British government was looking for ways to help people stretch their limited food supplies. It found pamphlets from a noted 19th-century herbalist who said rhubarb leaves could be used as a vegetable along with the stalks.During the First World War, the British government was looking for ways to help people stretch their limited food supplies. It found pamphlets from a noted 19th-century herbalist who said rhubarb leaves could be used as a vegetable along with the stalks.Consumer & Gadgets[#item_full_content]
Buildings researchers at the Department of Energy’s Pacific Northwest National Laboratory have released a new AI-driven, autonomous bot that could help speed up the energy modeling process for commercial building construction. Long before construction begins, commercial building teams evaluate a building’s expected energy consumption to inform design decisions, estimate operating costs and comply with relevant state and local energy codes.Buildings researchers at the Department of Energy’s Pacific Northwest National Laboratory have released a new AI-driven, autonomous bot that could help speed up the energy modeling process for commercial building construction. Long before construction begins, commercial building teams evaluate a building’s expected energy consumption to inform design decisions, estimate operating costs and comply with relevant state and local energy codes.Energy & Green Tech[#item_full_content]
Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ground, the horse picks up its pace to catch up with the herd. How is the horse able to transition between these different gaits? Researchers at Brown University’s Carney Institute for Brain Science have developed an artificial neural network that shows how a four-legged creature may generate multiple distinct patterns in gait. Their research provides new insights into how the brain may process complex behaviors.Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ground, the horse picks up its pace to catch up with the herd. How is the horse able to transition between these different gaits? Researchers at Brown University’s Carney Institute for Brain Science have developed an artificial neural network that shows how a four-legged creature may generate multiple distinct patterns in gait. Their research provides new insights into how the brain may process complex behaviors.Robotics[#item_full_content]
For 150 years, Major League Baseball (MLB) players and fans have accepted that an umpire missing a few balls and strikes is just part of the game. But this spring, MLB is rolling out an artificial intelligence-augmented camera system that will provide a second opinion for players to tap if they think an umpire whiffed.For 150 years, Major League Baseball (MLB) players and fans have accepted that an umpire missing a few balls and strikes is just part of the game. But this spring, MLB is rolling out an artificial intelligence-augmented camera system that will provide a second opinion for players to tap if they think an umpire whiffed.Hi Tech & Innovation[#item_full_content]
A bird banking in a crosswind doesn’t rely on spinning blades. Its wings flex, twist and respond instantly to its environment. Engineers at Rutgers University have taken a major step toward building bird-like drones that move the same way, flapping their wings like real birds, using electricity-driven materials instead of conventional electromagnetic motors to power them.A bird banking in a crosswind doesn’t rely on spinning blades. Its wings flex, twist and respond instantly to its environment. Engineers at Rutgers University have taken a major step toward building bird-like drones that move the same way, flapping their wings like real birds, using electricity-driven materials instead of conventional electromagnetic motors to power them.[#item_full_content]
Researchers have identified key components in large language models (LLMs) that play a critical role in ensuring these AI systems provide safe responses to user queries. The researchers used these insights to develop and demonstrate AI training techniques that improve LLM safety while minimizing the “alignment tax,” meaning the AI becomes safer without significantly affecting performance.Researchers have identified key components in large language models (LLMs) that play a critical role in ensuring these AI systems provide safe responses to user queries. The researchers used these insights to develop and demonstrate AI training techniques that improve LLM safety while minimizing the “alignment tax,” meaning the AI becomes safer without significantly affecting performance.Security[#item_full_content]
A collaborative research group has developed a bio-inspired robotic system based on insect behavior which can locate odor sources both indoors and outdoors with consistent accuracy, even if one of its two sensors fails. The team includes Assistant Professor Shigaki Shunsuke of the National Institute of Informatics (NII), Professor Kurabayashi Daisuke of the School of Engineering at Science Tokyo, and Associate Professor Owaki Dai of the Graduate School of Engineering at Tohoku University.A collaborative research group has developed a bio-inspired robotic system based on insect behavior which can locate odor sources both indoors and outdoors with consistent accuracy, even if one of its two sensors fails. The team includes Assistant Professor Shigaki Shunsuke of the National Institute of Informatics (NII), Professor Kurabayashi Daisuke of the School of Engineering at Science Tokyo, and Associate Professor Owaki Dai of the Graduate School of Engineering at Tohoku University.[#item_full_content]
Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is likely to be involved in an accident before getting behind the wheel. Road accidents are frequently linked to human error, yet traditional driver screening methods, particularly in the taxi and commercial transport sectors, tend to rely heavily on experience and background checks. According to the researchers, these criteria often fall short of predicting who may pose a higher risk on the road.Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is likely to be involved in an accident before getting behind the wheel. Road accidents are frequently linked to human error, yet traditional driver screening methods, particularly in the taxi and commercial transport sectors, tend to rely heavily on experience and background checks. According to the researchers, these criteria often fall short of predicting who may pose a higher risk on the road.Automotive[#item_full_content]
I remember the first time I attended a linguistics lecture as an undergraduate in Argentina. The lecturer asked a simple question: where does language come from? My instinctive answer was: books.I remember the first time I attended a linguistics lecture as an undergraduate in Argentina. The lecturer asked a simple question: where does language come from? My instinctive answer was: books.Machine learning & AI[#item_full_content]
Power usage by AI and data center systems in the U.S. is extraordinary by any measure. The International Energy Agency estimates U.S. AI and data centers used about 415 terawatt hours of power in 2024—more than 10% of that year’s nationwide energy output—and it’s expected to double by 2030.Power usage by AI and data center systems in the U.S. is extraordinary by any measure. The International Energy Agency estimates U.S. AI and data centers used about 415 terawatt hours of power in 2024—more than 10% of that year’s nationwide energy output—and it’s expected to double by 2030.Energy & Green Tech[#item_full_content]
