Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Health insurers often struggle to scale AI projects beyond initial experiments, leaving many pilots stalled before they can deliver real value. To address this challenge, Info-Tech Research Group, a ...