From space exploration to artificial intelligence, modern scientific breakthroughs depend on moving large amounts of data ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Ranks among the top-performing agents on OpenAI's MLE-Bench and sets new performance milestones MUMBAI, India, Feb ...
Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates 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 ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...