Karl Wu
@wuchanghao
Interested in machine learning, working at theoretical AI from both geometric & statistical perspective
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Welcome, AlphaChip! Today, we are sharing some exciting updates on our work published in @Nature in 2021 on using reinforcement learning for ASIC chip floorplanning and layout. We’re also naming this work AlphaChip. Since we first published this work, our use of this approach…
Our AI for chip design method AlphaChip has transformed the way we design microchips. ⚡ From helping to design state-of-the-art TPUs for building AI models to CPUs in data centers - its widespread impact can be seen across Alphabet and beyond. Find out more →…
"The Transformer was published at NeurIPS 2017, one of the top AI conferences worldwide. Yet it didn't even get an Oral presentation, let alone awards. There were 3 best papers at NeurIPS that year. Combined, they have 529 citations as of today." A deep lesson there...
Such a great model, use a differential model to simulate the growing, regenerating process and make a pretty beautiful demo. It must make a revolution in medicine in the long run
Our article on Growing Neural Cellular Automata is LIVE!!! Thanks @RandazzoEttore @eyvindn @drmichaellevin @blaiseaguera @ch402 and many others! distill.pub/2020/growing-c…
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