Accelerating Research and Engineering with AI | Theoretically Speaking

Matei Zaharia of UC Berkeley and Databricks describes how large language models are being used to accelerate research and engineering, including AI search algorithms such as GEPA and AlphaEvolve and results in computer science, biology and other fields. The free public lecture considers where AI coworkers that explore solutions tirelessly might take science and engineering next. Light refreshments are served from 4 p.m. and registration is required.