EFI Colloquium - Science Labs that Only AI Can Build: Embedding AI into Sensors and Instruments to Accelerate Discovery Across Physics, Astronomy, Neuroscience, and Beyond, David Miller, UChicago

3:30 pm MCP 201

933 East 56th Street
Chicago IL 60637

The University of Chicago recently announced that is launching a major new initiative to support a broad set of cross-disciplinary projects that will advance the interests of faculty at the intersection of their research and Artificial Intelligence. One of the 10 supported projects sits at a nexus of interests for the Enrico Fermi Institute: Science Labs that Only AI Can Build. This broad yet coherent effort aims to explore how artificial intelligence can fundamentally transform experimental science. The goal is to embed AI directly into the design, operation, and optimization of sensors and instruments, creating systems that can adapt, learn, and accelerate discovery across fields from physics and astronomy to neuroscience and materials science.

This initiative builds on the University’s deep strengths in fundamental science and its partnerships with Fermilab, Argonne, and TTIC. It aims to position UChicago as a leader in AI-enhanced sensor design and data acquisition, spanning efforts from quantum and particle detectors to large-scale observatories and autonomous laboratory systems. All of these areas have interest and connection to the Enrico Fermi Institute and its members. 

This colloquium will introduce the vision, scope, and first-year plans of the initiative and open discussion on how the EFI community can shape its long-term direction. We invite faculty, researchers, postdocs, and students to contribute ideas for collaborative projects, educational programs, and strategies for sustained impact. Join us to help define the next generation of AI-driven experimental science—and the laboratories that only AI can build.
 

Event Type

Colloquia

Oct 20