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caltech | 2023 CAST Annual Program Review: Theme 2, Part 2 - Learning for Autonomy - 10/30/23 @caltech | Uploaded November 2023 | Updated October 2024, 1 day ago.
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- Yisong Yue, Neurosymbolic Modeling: A Hybrid AI Paradigm for Reliable and Flexible Autonomy: 0:04
- Zihui (Ray) Wu, Learning Acquisition Strategies for Accelerated MRI: 10:23
- Roni Goldshmid, Sensing the wind using computer vision and vegetation: 19:58
- Ryan Cosner, Safety for uncertain robotic systems: a control barrier function approach: 24:51
- Berthy Feng, Data-Driven Priors for Scientific Imaging: 30:22
- Michelle Effros, Data Gathering and Communications for Distributed Agents: 35:09


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 2 - Learning for Autonomy - 10/30/23Watson Lecture Promo – Oct. 23, 2024: Bil ClemonsRethinking Evaporation: Thermal and Optical Evaporation from Pure Water and Hydrogels - Gang ChenHistory of Pride by Shelley Diamond - June 26, 2024Ed Stone (1936-2024): Voyager Project ScientistStructure Exploiting Multi-Agent Reinforcement LearningKNI20: Fireside Chat with Dr. George Whitesides and President Rosenbaum - March 7, 2024Netlab Reunion Athenaeum Reception + Special Keynote:  My Favorite ArchitectNiyati Desai - Three Minute Thesis - 4/25/2023Shri Kulkarni: Discoveries from the Zwicky Transient Facility (ZTF) – Watson Lecture Feb. 7, 2024Insect Flight Control Mechanics RevealedShaping the Future: Societal Implications of Generative AI - 5/5/2023

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

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