Hydrology experts at the U.S. Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) used artificial intelligence and a physics-based understanding of streamflow to create a model that provides highly accurate predictions of river temperatures, even in waterways that lack sensors. The findings are published in the Journal of Hydrology.Hydrology experts at the U.S. Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) used artificial intelligence and a physics-based understanding of streamflow to create a model that provides highly accurate predictions of river temperatures, even in waterways that lack sensors. The findings are published in the Journal of Hydrology.Energy & Green Tech[#item_full_content]
NASA announced that it will launch the Nancy Grace Roman space telescope into orbit in September 2026, eight months ahead of schedule. The new space telescope is expected to deliver 20,000 terabytes of data to astronomers over the course of its life.NASA announced that it will launch the Nancy Grace Roman space telescope into orbit in September 2026, eight months ahead of schedule. The new space telescope is expected to deliver 20,000 terabytes of data to astronomers over the course of its life.Machine learning & AI[#item_full_content]
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a “black box.” To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed mathematically using the tools of statistical physics.Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a “black box.” To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed mathematically using the tools of statistical physics.Computer Sciences[#item_full_content]
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a “black box.” To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed mathematically using the tools of statistical physics.Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a “black box.” To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed mathematically using the tools of statistical physics.[#item_full_content]
In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens Institute of Technology researchers have devised an algorithm that improves AI data sharing, boosts performance and reduces power consumption.In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens Institute of Technology researchers have devised an algorithm that improves AI data sharing, boosts performance and reduces power consumption.Machine learning & AI[#item_full_content]
A research team led by Virginia Tech cybersecurity expert Bimal Viswanath has found a critical blind spot in today’s image protection techniques designed to prevent bad actors from stealing online content for unauthorized artificial intelligence training, style mimicry, and deepfake manipulations. The study is published on the arXiv preprint server.A research team led by Virginia Tech cybersecurity expert Bimal Viswanath has found a critical blind spot in today’s image protection techniques designed to prevent bad actors from stealing online content for unauthorized artificial intelligence training, style mimicry, and deepfake manipulations. The study is published on the arXiv preprint server.Security[#item_full_content]
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify. Cornell researchers have created a computational model that shows the effect of insects’ morphology on stabilizing their flight. The findings could lead to a new way to understand the evolution of animal flight while also providing a blueprint for designing flapping-wing robots.The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify. Cornell researchers have created a computational model that shows the effect of insects’ morphology on stabilizing their flight. The findings could lead to a new way to understand the evolution of animal flight while also providing a blueprint for designing flapping-wing robots.[#item_full_content]
Ultra-personalized artificial intelligence for assisted communication risks muting aspects of the user’s identity and occasionally breaches privacy, according to a new study from a Cornell Tech doctoral student who trained the technology on himself.Ultra-personalized artificial intelligence for assisted communication risks muting aspects of the user’s identity and occasionally breaches privacy, according to a new study from a Cornell Tech doctoral student who trained the technology on himself.Consumer & Gadgets[#item_full_content]
The cybersecurity community went on alert when Anthropic announced on April 7, 2026, that its latest and most capable general-purpose large language model, Claude Mythos Preview, had demonstrated remarkable—and unintended—capabilities. The artificial intelligence system was able to find and exploit software vulnerabilities—the most serious type of software bugs—at a rate not seen before.The cybersecurity community went on alert when Anthropic announced on April 7, 2026, that its latest and most capable general-purpose large language model, Claude Mythos Preview, had demonstrated remarkable—and unintended—capabilities. The artificial intelligence system was able to find and exploit software vulnerabilities—the most serious type of software bugs—at a rate not seen before.Security[#item_full_content]
The boom in data center construction is taking up much of the supply of high-tech components, especially processor and memory chips. This demand is squeezing consumer device makers, which are having trouble acquiring enough chips.The boom in data center construction is taking up much of the supply of high-tech components, especially processor and memory chips. This demand is squeezing consumer device makers, which are having trouble acquiring enough chips.Electronics & Semiconductors[#item_full_content]
