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Podcast: Practical AI
Episode:

Reinforcement learning for chip design
Category: Technology
Duration: 00:44:34
Publish Date: 2020-04-27 14:30:00
Description:

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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