Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
Department of Computer Science - University of Texas at Austin

Adaptive Anatomy: 3D Models That Fit Every Form

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...

CatDRX: a novel AI model for discovery of chemical catalysts

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
TMCnet

The OpenFold Consortium Names Dr. Jan Domanski as Senior Science Lead to Drive the Next Generation of Open Source AI Models for Structural Biology and Drug Discovery

"Dr. Domanski embodies the spirit of OpenFold: a deep scientific understanding of proteins coupled with professional engineering expertise and a builder's mindset," said Dr. Woody Sherman, Chair of ...

New model makes machine learning potentials more accurate and more accessible

A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...