NEW ORLEANS, LA—A strategy that involves on-site machine learning to facilitate computed tomography-derived fractional flow reserve (FFRCT) in patients with new-onset stable coronary artery disease ...

In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...

Chemists have developed a new machine-learning (ML) framework that can zero in on which steps of a multistep chemical conversion should be tweaked to improve productivity. The approach could help ...

A new study shows that it is possible to use the genetic sequences of a person's antibodies to predict what pathogens those antibodies will target. The new approach successfully differentiates between ...

Configurable high-bandwidth RISC-V cores with vector units can be made to directly address challenging applications like machine learning, AI, and other cutting-edge spaces. Semidynamics is a European ...