A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 ...

A year and a half later, the team has reported – again in Nature ("Targeting protein-ligand neosurfaces with a generalizable deep learning tool") – an exciting advancement of this technology. They ...

Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins: when molecules of a drug candidate bind to these proteins, like a key going into a lock, they trigger ...

Machine learning operations -- or MLOps -- is a complex process involving numerous discrete workflows, including AI model training, testing, deployment and management. Performing all these tasks ...