Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the extreme precision required and the hundreds of steps involved, such as ...

"It's a dangerous feedback loop: less ice leads to more heat, which leads to even less ice." What is sea ice? Sea ice is frozen ocean water that melts each summer, then refreezes each winter.

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

This article reviews the foundations and applications of machine learning force fields (MLFFs) in electrochemistry, highlighting their role as a transformative tool in materials science. We first ...

The RFI seeks comment on the use of AI in biomedical discovery, public health and clinical decision support. And the agency wants feedback on how the NIH can best collaborate with other government ...

Hardware Graphics Cards AMD just gave us our first glimpse of FSR 4's 'Redstone' update, with a host of machine learning-based improvements News By Andy Edser published May 20, 2025 ...

Classical empirical force fields have dominated biomolecular simulations for over 50 years. Although widely used in drug discovery, crystal structure prediction, and biomolecular dynamics, they ...

With the integration of quantum computing into classical machine learning, QML emerges as a powerful approach to enhance computational performance. Various classical machine learning algorithms, ...

Experimental characterization of magnetic components has grown to be increasingly important to understand and model their behaviours in high-frequency PWM converters. The BH loop measurement is the ...