Recent advances in AI have made it possible for algorithms to learn some of the dark arts involved in chip design which should help companies like Google, Nvidia, and others draw up more powerful and efficient blueprints in much less time. (From 2021)
can help arrange components on a chip and how to wire them together. The approach, which lets a machine learn from experience and experimentation, has been key to some major advances in AI.The AI tools Ren is testing explore different chip designs in simulation, training a large artificialto recognize which decisions ultimately produce a high-performing chip.
“You can design chips more efficiently,” Ren says. “Also, it gives you the opportunity to explore more design space, which means you can make better chips.” Nvidia started out making graphics cards for gamers but quickly saw the potential of the same chips for running powerfulalgorithms, and it is now a leading maker of high-end AI chips. Ren says Nvidia plans to bring chips to market that have been crafted using AI but declined to say how soon. In the more distant future, he says, “you will probably see a major part of the chips that are designed with AI.
Reinforcement learning was used most famously to train computers to play complex games, including the board game Go, with superhuman skill, without any explicit instruction regarding a game’s rules or principles of good play. It shows promise for
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