AI and Data for Science
Course Description
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.
CS 292
Units: 1
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Typically Offered
Autumn
Grading Basis
Satisfactory/No Credit
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None
