It is time-consuming to develop a smartphone chipset, not to mention the insane number of complexities accompanied thereupon journey. to form things a touch less stressful, Samsung is reportedly using AI to automate its steps to develop subsequent Exynos chipset for smartphones.
Samsung Apparently Using AI Features From Synopsys to Develop This Exynos SoC
The leading chip design software company, Synopsys, is employed by many firms and can be Samsung‘s ally in developing subsequent Exynos for smartphones. Aart de Geus, the chairman and co-CEO of Synopsys, states the subsequent stage of SoC development.
“What you’re seeing here is that the first of a true commercial processor design with AI.”
According to industry experts, Synopsys’ DSO.ai tool accelerates semiconductor development, and therefore the company has years of semiconductor design experience which will be wont to train its AI algorithm. Samsung has not confirmed if the recently launched flagship, the Galaxy Z Fold 3, uses an AI-designed chipset, but considering there’s a Snapdragon 888 running underneath its hood, we’ve to require that as a no.
While the Korean giant’s spokesperson has said that Samsung is using Synopsys AI software to style its Exynos chipsets, the firm has not confirmed if any of these designs have gone into production or future products, like the heavily rumoured Exynos 2200, will cash in of this technology. However, Ars Technica reports that consistent with analyst Mike Demler, the utilization of AI is compatible with arranging billions of transistors across a chip.
“It lends itself to those problems that have gotten massively complex. it’ll just become a typical a part of the computational carpenter’s kit .”
Demler also states that using AI to style a chip is dear, as a corporation requires plenty of cloud computing power to coach a robust algorithm. Fortunately, he expects costs to drop because the technology becomes more widespread and employed by other firms. However, drafting up a replacement chip design, like for the Exynos 2200, is an arduous task, requiring weeks of designing and decades of experience to execute.
The inclusion of AI might not train the algorithm to possess the intuitive capabilities of the chip engineers, but some skills derived from years of experience can train the program to an extent. Additionally, Synopsys claimed that using AI improved the performance of a chip by 15 per cent, with Aart de Geus stating that one result using the software are often achieved during a matter of weeks as against a couple of months using qualified individuals.
“A bit over a year and a half ago, for the primary time, we were ready to get an equivalent results as a team of experts would get in multiple months in only a couple of weeks.”
These advantages could prepare Samsung to catch up to Apple in both performance and power efficiency. An equivalent result might be possibly achieved when Exynos variants of chipsets are designed for future notebook computers. However, we’ll see how Samsung employs this technology in upcoming SoC iterations and that we will have all the updates for you within the future, so stay tuned.
