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Bill Dally - 1 Dally - 1 Stephen Nellis - 1 Marguerita Choy - 1
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☆ Nvidia tests chatbots in chip design process in bid to use more AI
  + stars: | 2023-10-30 | by ( Stephen Nellis | ) www.reuters.com   time to read: +2 min
Oct 30 (Reuters) - Nvidia (NVDA.O) on Monday published new research into using chatbots that can generate human-like responses in the process of designing semiconductors. "It turns out a lot of our senior designers spend a fair amount of their time answering questions from junior designers," Nvidia's chief scientist Bill Dally told Reuters. This can save senior designers a huge amount of time." Dally said a big chunk of engineers' time is dedicated to finding a part of the chip that doesn't work and using testing tools to find out why. To carry out that testing, AI systems can quickly write piece of code called a script that operates the tool.
Persons: Bill Dally, Dally, Stephen Nellis, Marguerita Choy Organizations: Nvidia, Reuters, San, Thomson Locations: San Francisco
☆ China's AI industry barely slowed by US chip export rules
  + stars: | 2023-05-03 | by ( Stephen Nellis Josh Ye Jane Lee | Stephen Nellis | Josh Ye | ) www.reuters.com   time to read: +6 min
But Nvidia has created variants of its chips for the Chinese market that are slowed down to meet U.S. rules. Even the slowed Nvidia chips represent an improvement for Chinese firms. The back-and-forth between government and industry exposes the U.S. challenge of slowing China's progress in high tech without hurting U.S. companies. Chip industry sources said that was an effective action. Some in the AI industry believe that is still plenty of speed.
☆ Nvidia shows new research on using AI to improve chip designs
  + stars: | 2023-03-28 | by ( Stephen Nellis | ) www.reuters.com   time to read: +2 min
[1/2] A smartphone with a displayed NVIDIA logo is placed on a computer motherboard in this illustration taken March 6, 2023. REUTERS/Dado Ruvic/IllustrationMarch 27 (Reuters) - Nvidia Corp (NVDA.O), 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. Chip design engineers use complex design software from firms like Synopsys Inc (SNPS.O) and Cadence Design Systems Inc (CDNS.O) 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 techniques to find better ways to place big groups of transistors. 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 of it to get even better results.
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