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CEDA Virtual DL Series: Data-Driven Deep Learning for Full-Chip Thermal and Power Estimation for Commercial Multi-core Systems-Sheldon Tan
Abstract: Recently machine learning, especially deep learning is gaining much attention due to the breakthrough performance in various cognitive tasks. Machine learning for electronic design automation is also gaining traction as it provides new techniques for many of the challenging design automation problems with complex nature.

Feb 6, 2023 10:00 AM in Eastern Time (US and Canada)

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Sheldon Tan
Professor @University of California
https://ieee-ceda.org/contact/sheldon-tan