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Samsung is using Artificial intelligence that automates the most complex and subtle processes of designing state-of-the-art computer chips.

The Korean giant was one of the first chip makers to create chips using AI. Samsung is using AI capabilities in the new software from Synopsys, a leading chip design software company used by many companies. Shown here is the first of a real commercial processor design using AI, said Aart de Geus, Chairman and Co-CEO of Synopsys.

Other companies, including Google and Nvidia, talked about designing chips using AI. However, Synopsys tool, called DSO.ai, has the potential to be the most extensive as Synopsys works with dozens of companies. According to industry watchers, this tool has the potential to accelerate semiconductor development and unleash new chip designs.

Synopsys has another valuable asset for creating AI-designed chips. Its a long-standing, state-of-the-art semiconductor design that can be used to train AI algorithms.

A Samsung spokeswoman has confirmed that the company is using Synopsys AI software to design Exynos chips for use in smartphones, including their own branded phones and other gadgets. Earlier this week, Samsung announced a foldable device called the Galaxy Z Fold 3, the latest smartphone. The company hasnt confirmed if AI-designed chips are still in production, or in which products they might appear.

Throughout the industry, AI seems to be changing the way chips are manufactured.

A Google research paper published in June describes using AI to deploy components on the Tensor chip that are used to train and run AI programs in the data center. Googles next smartphone, the Pixel 6, will feature a custom Samsung chip. A Google spokeswoman didnt say whether AI helped design the smartphone chip.

AI addresses these very complex issues.

Linley Group, Senior Analyst, Mike Demler

Chip makers such as Nvidia and IBM are also working on AI-led chip design. Other manufacturers of chip design software, including Synopsys competitor Cadence, are also developing AI tools to help map new chip blueprints.

Mike Demler, senior analyst at Linley Group, who tracks chip design software, says artificial intelligence is well suited for placing billions of transistors across a chip. It helps with these problems that have become very complicated, he says. This will be a standard part of the calculation toolkit.

Using AI tends to be expensive, says Demler, because training powerful algorithms requires a lot of cloud computing power. But he hopes that as computing costs go down and models become more efficient, they will become more accessible. He adds that many tasks related to chip design cannot be automated, so professional designers are still needed.

Modern microprocessors are extremely complex and have multiple components that need to be effectively combined. Sketching a new chip design usually requires weeks of hard work and decades of experience. The best chip designers instinctively understand how different decisions affect each step in the design process. You cant easily write that understanding into your computer code, but you can use machine learning to acquire some of the same skills.

The AI approach used by Synopsys, Google, Nvidia, and IBM uses a machine learning technique called reinforcement learning to design the chip. Reinforcement learning involves training algorithms that perform tasks through rewards or punishments, and has proven to be an effective way to capture the subtle and difficult-to-systematize judgments of humans.

This method allows you to automatically create design basics, such as component placement and component routing, by experimenting with different designs in simulation and learning which ones give the best results. This speeds up the chip design process and allows engineers to experiment with new designs more efficiently. Synopsys said in a June blog post that one of the North American integrated circuit manufacturers used the software to improve chip performance by 15%.

Most notably, Reinforcement Learning was used by Googles subsidiary DeepMind in 2016 to develop AlphaGo, a program that allows you to master board game Go and defeat world-class Go players.

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Samsung has its own AI-designed chip.Soon, others too - Texasnewstoday.com