Podknife - Reinforcement learning for chip design (Practical AI #87) by Changelog Master Feed

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Reinforcement learning for chip design (Practical AI #87)

Podcast |: Changelog Master Feed
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Business,; Entrepreneurship,; Interview,; Master Feeds,; Software How-To,; Tech News,; Technology,; Web Development
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Apr 27, 2020
Episode Duration |: 00:44:34

Description
Content Encoded

Daniel and Chris have a fascinating discussion with Anna Goldie and Azalia Mirhoseini from Google Brain about the use of reinforcement learning for chip floor planning - or placement - in which many new designs are generated, and then evaluated, to find an optimal component layout. Anna and Azalia also describe the use of graph convolutional neural networks in their approach.

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Featuring:

Anna Goldie – Twitter, GitHub, LinkedIn
Azalia Mirhoseini – Twitter, LinkedIn
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? ai-87.md">PRs welcome!

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