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7 videos found
IEEE Seasonal School: Manufacturability, Testing, Reliability, and Security
03:03:10
IEEE Seasonal School: Manufacturability, Testing, Reliability, and Security
8 views
Chip Design,
Machine Learning,
Workshops and Tutorials
machine learning
IEEE Seasonal School: Standard Platforms for ML in EDA and IC Design
02:56:12
IEEE Seasonal School: Standard Platforms for ML in EDA and IC Design
8 views
Chip Design,
Machine Learning,
Workshops and Tutorials
electronic design automation,
integrated circuits,
machine learning
IEEE Seasonal School: Applications / Future Frontiers
03:08:38
IEEE Seasonal School: Applications / Future Frontiers
5 views
Chip Design,
Machine Learning,
Workshops and Tutorials
electronic design automation,
machine learning,
verification
IEEE Seasonal School: Deep / Reinforcement Learning
03:16:35
IEEE Seasonal School: Deep / Reinforcement Learning
4 views
Chip Design,
Machine Learning,
Workshops and Tutorials
deep learning,
electronic design automation,
machine learning,
reinforcement learning
TILOS Seminar: ML for Design Methodology and EDA Optimization
01:04:07
TILOS Seminar: ML for Design Methodology and EDA Optimization
5 views
Chip Design,
Machine Learning,
TILOS Seminar Series
electronic design automation,
machine learning,
physics-based modeling,
reinforcement learning,
self-supervised learning
TILOS Seminar: The FPGA Physical Design Flow Through the Eyes of ML
01:16:33
TILOS Seminar: The FPGA Physical Design Flow Through the Eyes of ML
3 views
Chip Design,
Machine Learning,
TILOS Seminar Series
FPGA,
machine learning,
physical design flow
TILOS Seminar: Closing the Virtuous Cycle of AI for IC and IC for AI
01:02:04
TILOS Seminar: Closing the Virtuous Cycle of AI for IC and IC for AI
4 views
Chip Design,
Machine Learning,
TILOS Seminar Series
electronic design automation,
integrated circuits,
machine learning,
semiconductors
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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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