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caltech | 2023 CAST Annual Program Review: Theme 2, Part 1 - Learning for Autonomy - 10/30/23 @caltech | Uploaded 9 months ago | Updated 1 day ago
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- Anima Anandkumar, AI accelerating Science: Neural Operators for Learning on Function Spaces: 0:04
- Georgia Gkioxari, The Power of Large Models for Vision Understanding and Beyond: 15:57
- Nico Christianson, Robust machine-learned algorithms for efficient grid operation: 26:11
- Mickey Leung, Optimal surface pressure sensor placement for lift prediction of an airfoil subject to gust: 30:12
- Houman Owhadi & Pau Batlle, System identification with computational Graph Completion and optimization-based confidence intervals with frequentist guarantees: 35:13, 38:42


Learn more about:
- Center for Autonomous Systems and Technologies (CAST): https://cast.caltech.edu
- 10/30/23 CAST Annual Program Review event: https://castapr.caltech.edu/program

2023 California Institute of Technology
2023 CAST Annual Program Review: Theme 2, Part 1 - Learning for Autonomy - 10/30/23KNI20: KNI Directors Panel Discussion - March 8, 2024Sci-Fi to Sci-Fact: Artificial Intelligence on the Big Screen (Sept. 23, 2023)Privacy & Security of Learning Algo: A Control Theory PerspectiveRobotic Jellyfish ExplorersIlluminating the Night Sky: Discoveries from the Zwicky Transient Facility - Shri KulkarniOnline Tree-based Planning for Active Spacecraft Fault Estimation and Collision Avoidance2023 S2I Symposium - Workplace Decarbonization through Data, Modeling and Optimization - Steven LowKeynote I: Learning and Control in Countable State SpacesBringing Imbalance to the Universe with Arian Jadbabaie, PhDCaltech Counts Down to 2024There Is A World Out There, But It Is Mental - Bernardo Kastrup - 5/31/23

2023 CAST Annual Program Review: Theme 2, Part 1 - Learning for Autonomy - 10/30/23 @caltech