Changelog Master Feed Reinforcement learning for chip design (Practical AI #87)
Apr 27, 2020
44:34
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!