Changelog Master Feed

Reinforcement learning for chip design (Practical AI #87)

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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 – GitHub, LinkedIn, X
    • Azalia Mirhoseini – LinkedIn, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Their research paper
    • Google Brain
    • Google is using AI to design chips that will accelerate AI | MIT Technology Review
    • Practical AI episode #47: GANs, RL, and transfer learning oh my!

      • Something missing or broken? PRs welcome!

      ...more
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