AI and Data for Science (CS 292, PSYCH 292R, STATS 282)

1 credits · Graduate

AI4Science is an emerging discipline that leverages machine learning, foundation models, and autonomous agents to accelerate the pace of discovery. By integrating data-driven architectures with physical constraints, the field models complex systems at unprecedented scales. At Stanford, this work is empowered by Marlowe - a specialized GPU-based computational instrument. This seminar series presents research from the Stanford community and beyond, exploring the frontier where Al and scientific inquiry converge.