Google claims that it has developed artificial intelligence software that can design computer chips faster than humans can.
The tech giant said in a paper in the journal Nature on Wednesday that a chip that would take humans months to design can be dreamed up by its new AI in less than six hours.
The AI has already been used to develop the next iteration of Google’s tensor processing unit chips, which are used to run AI-related tasks, Google said.
“Our method has been used in production to design the next generation of Google TPU,” wrote the authors of the paper, led by Google’s co-heads of machine learning for systems, Azalia Mirhoseini and Anna Goldie.
To put it another way, Google is using AI to design chips that can be used to create even more sophisticated AI systems.
Specifically, Google’s new AI can draw up a chip’s “floorplan.” This essentially involves plotting where components like CPUs, GPUs, and memory are placed on the silicon die in relation to one another — their positioning on these miniscule boards is important as it affects the chip’s power consumption and processing speed.
It takes humans months to optimally design these floorplans but Google’s deep reinforcement learning system — an algorithm that’s trained to take certain actions in order to maximize its chance of earning a reward — can do it with relatively little effort.
Similar systems can also defeat humans at complex games like Go and chess. In these scenarios, the algorithms are trained to move pieces that increase their chances of winning the game but in the chip scenario the AI is trained to find the best combination of components in order to make it as computationally efficient as possible. The AI system was fed 10,000 chip floorplans in order to “learn” what works and what doesn’t.
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