Chip floorplanning with deep reinforcement learning

Learn about a deep reinforcement learning method that can generate superhuman chip layouts in under six hours, rather than weeks or months of human effort. This method was recently published in Nature and was used in production to generate chip layouts for Google’s latest AI accelerator (TPU). Speakers: Anna Goldie (Staff Research Scientist), Azalia Mirhoseini (Staff Research Scientist) Watch all Google's Machine Learning Virtual Community Day sessions → https://goo.gle/mlcommunityday-all Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow #MLCommunityDay product: TensorFlow - General; event: ML Community Day 2021; fullname: Anna Goldie, Azalia Mirhoseini; re_ty: Publish;