A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...
Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
Princeton Plasma Physics Laboratory plans to launch a new AI project, called STELLAR-AI, to lower costs and heighten efficiency for experiments. The program is anticipated to launch in 2027, and is ...
BANGALORE, India , Feb. 17, 2026 /PRNewswire/ -- According to Valuates Reports, The global market for AI in Biotechnology was valued at USD 1033 Million in the year 2024 and is projected to reach a ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
New data-driven map uses live weather, water temperature modeling, and machine learning to help prevent fish loss ...
Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...
Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
Electra announces a major milestone with the successful validation of its EVE‑Ai™ Adaptive Controls platform, enabling ...