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Samsung Joins Google and Nvidia in Using AI to Design Chips - PCMag

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Samsung is joining Google, Nvidia, and other tech companies in using AI to design its upcoming processors. The company is using new features offered by a chip design software maker called Synopsys with at least some of its next-generation Exynos processors, Wired reports.

This could be an important step towards AI-assisted semiconductor design going mainstream. Samsung uses Exynos chips in its smartphones, tablets, smartwatches, Chromebooks, and cameras; it also licenses the processors to other companies for use in a variety of other devices.

Wired says Samsung wouldn't confirm that any of these partly AI-designed chips have made it to production yet, however, or in what devices those chips would first appear. The company might still be in the early stages of integrating Synopsys' latest features into its processes.

But it's clear companies are intrigued by AI-assisted chip design. Nvidia said in September 2020 that machine-learning techniques "such as deep convolutional neural networks and graph-based neural networks" could eventually "aid designer productivity and automate optimization tasks."

That's already proved true: Google researchers said in a Nature article that they developed an AI that "automatically generates chip floorplans that are superior or comparable to those produced by humans in all key metrics, including power consumption, performance and chip area."

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Those efforts have been limited to individual companies, however, whereas Synopsys has reportedly made AI-assisted chip design available to "dozens of companies" with its DSO.ai tool. The company plans to reveal more about its efforts at the Hot Chips conference on Aug. 23.

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