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Anna Goldie

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Practical AI Practical AI #87

Reinforcement learning for chip design

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2020-04-27T19:30:00Z #ai +2 🎧 9,082

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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