# Nvidia shows new research on using AI to improve chip designs Author: Pal Sinha, Barnali Author URL: https://financedigest.com/author/pal-sinha-barnali Published: 2023-03-28 Category: NEWS Category URL: https://financedigest.com/category/news Meta Title: Nvidia AI Chip Design Research: Latest Findings Revealed Meta Description: Nvidia Corp reveals how AI optimises chip design, surpassing Google's findings. AI combination for better transistor placement, important for chip cost, URL: https://financedigest.com/nvidia-shows-new-research-on-using-ai-to-improve-chip-designshtml ![undefined](https://prod.superblogcdn.com/site_cuid_cm5qst7v3003gwirgwqtxn8i8/images/2023-03-28t002313z1lynxmpej2r00crtroptp4nvidia-results-1736814249008-compressed.jpg) By Stephen Nellis (Reuters) – Nvidia Corp, the world’s leading designer of computer chips used in creating artificial intelligence, on Monday showed new research that explains how AI can be used to improve chip design. The process of designing a chip involves deciding where to place tens of billions of tiny on-off switches called transistors on a piece of silicon to create working chips. The exact placement of those transistors has a [big impact](https://www.financedigest.com/russia-could-hike-rates-in-2023-if-inflation-risks-have-big-impact-cenbank.html "Russia could hike rates in 2023 if inflation risks have big impact -cenbank") on the chip’s cost, speed and power consumption. Chip [design engineers use complex design software from firms like Synopsys Inc and Cadence Design](https://www.financedigest.com/helpful-saas-softwares-to-be-aware-of-as-a-freelance-designer.html "Helpful SaaS Softwares to be aware of as a Freelance Designer") Systems Inc to help them optimize the placement of those transistors. On Monday, Nvidia released a paper showing that it could use a combination of [artificial intelligence](https://www.financedigest.com/types-of-artificial-intelligence.html "Types of artificial intelligence") techniques to find better ways to place big groups of transistors. The paper aimed to improve on a 2021 paper by Alphabet Inc’s Google, whose findings later became the subject of controversy. The Nvidia research took an existing effort developed by University of Texas researchers using what is called reinforcement learning and added a [second layer of artificial intelligence on top](https://www.financedigest.com/new-york-holds-top-spot-london-second-in-z-yen-financial-centre-survey.html "New York holds top spot, London second in Z/Yen financial centre survey") of it to get even better results. Nvidia chief scientist Bill Dally said the work is important because chip manufacturing [improvements are slowing with per-transistor costs in new generations of chip manufacturing technology](https://www.financedigest.com/how-technology-is-improving-car-safety.html "How technology is improving car safety") now higher than previous generations. That goes against the famous prediction by [Intel Corp co-founder Gordon Moore that chips](https://www.financedigest.com/intel-wants-5-billion-more-in-german-subsidies-for-chip-plant-bloomberg-news.html "Intel wants billion more in German subsidies for chip plant – Bloomberg News") would always get cheaper and faster. “You’re no longer actually getting an economy from that scaling,” Dally said. To continue to move forward and to [deliver more value to customers](https://www.financedigest.com/how-partnerships-fuel-fintech-innovation-and-help-banks-deliver-a-better-customer-experience.html "How Partnerships Fuel Fintech Innovation and Help Banks Deliver a Better Customer Experience"), we can’t get it from cheaper transistors. We have to get it by being more clever on the design.” (Reporting by Stephen Nellis in [San Francisco; Editing by Sam Holmes)](https://www.financedigest.com/paul-jasper-joins-rimon-laws-san-francisco-office-as-partner.html "Paul Jasper joins Rimon Law’s San Francisco Office as Partner") --- This blog is powered by Superblog. Visit https://superblog.ai to know more. ---