Reinforcement learning for chip design
Reinforcement learning for chip design  
Podcast: Practical AI: Machine Learning, Data Science, LLM
Published On: Mon Apr 27 2020
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.