SciFM News

Scientific Foundation Models are parameterized physical theories that are trained on a broad range of scientific data and capable of being applied to a wide range of downstream tasks, such as discovering patterns, engineering designs, and generating scientific hypotheses and insights. These models are paving the way for cutting-edge research and development in various fields such as healthcare, climate science, and engineering.

MICDE Magazine Special Edition: SciFM24 Conference

This special issue presents highlights from the MICDE Conference on Scientific Foundation Models (SciFMs) held on April 2-3, 2024at the University of Michigan.

Download the PDF version from here