Google Uses AI to Design Chips, Creating Machine Learning Ouroboros


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Google researchers published a new paper in Nature on Wednesday describing “an edge-based graph convolutional neural network architecture” that learned how to design the physical layout of a semiconductor in a way that allows “chip design to be performed by artificial agents with more experience than any human designer.” Interestingly, Google used AI to design other AI chips that offer more performance. 

This is a significant advancement in chip design that could have serious implications for the field. Here’s how the researchers described their achievement in the abstract of the paper (the full text of which is unavailable to the public) as printed by Nature:

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