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46 videos found
TILOS Seminar: Engineering Interpretable and Faithful AI Systems
01:00:13
TILOS Seminar: Engineering Interpretable and Faithful AI Systems
1views
Machine Learning,
TILOS Seminar Series
TILOS Seminar: Autopilots Need Parachutes: Reliability Lessons from LLM-Automated Embedded AI Systems
00:55:06
TILOS Seminar: Autopilots Need Parachutes: Reliability Lessons from LLM-Automated Embedded AI Systems
1views
Machine Learning,
TILOS Seminar Series
TILOS Seminar: Neuromorphic LLMs
00:50:53
TILOS Seminar: Neuromorphic LLMs
10views
Foundations,
Machine Learning,
TILOS Seminar Series
TILOS-MICS Seminar: AI-Driven Design Automation for Multi-Chip Integration in AI Chips
00:56:10
TILOS-MICS Seminar: AI-Driven Design Automation for Multi-Chip Integration in AI Chips
6views
Chip Design,
TILOS Seminar Series
TILOS Seminar: Kinetic Theory Perspective of Foundation Models for Physics
01:01:36
TILOS Seminar: Kinetic Theory Perspective of Foundation Models for Physics
10views
Foundations,
Panel Discussions,
TILOS Seminar Series
Title slide for a presentation by Dr. Yi Wu
01:03:16
TILOS Seminar: Incentivizing Emergent Behaviors for LLMs via Reinforcement Learning
7views
Machine Learning,
TILOS Seminar Series
TILOS Seminar: 95 Percent: Bridging the Gap Between Prototype and Product
00:53:16
TILOS Seminar: 95 Percent: Bridging the Gap Between Prototype and Product
6views
Robotics,
TILOS Seminar Series
Title slide for a presentation by Dr. David Rosen
00:58:44
TILOS Seminar: Certifiably Correct Machine Perception
10views
Machine Learning,
Robotics,
TILOS Seminar Series
Title slide for a presentation by Dr. Adam Oberman
00:59:48
TILOS Seminar: AI Safety Theory: The Missing Middle Ground
7views
AI Ethics,
TILOS Seminar Series
Title slide for a presentation by Dr. Courtney Paquette
00:54:16
High-dimensional Optimization with Applications to Compute-Optimal Neural Scaling Laws
12views
Foundations,
Machine Learning,
Optimization for ML & AI Seminar Series,
TILOS Seminar Series
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This project is supported by the U.S. National Science Foundation under CCF-2112665. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation.

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