TIWN
New Delhi, June 12 (TIWN) As the world faces acute semiconductor or chip shortage, a team of Google researchers is working on to design next-generation artificial-intelligence (AI) chips, and has created an AI model that allows chip design to be performed by artificial agents with more experience than any human designer.
The new AI method utilises past experience to become better and faster at solving new instances of the problem. "Our method was used to design the next generation of Google's artificial intelligence (AI) accelerators, and has the potential to save thousands of hours of human effort for each new generation," the team wrote in a paper appeared in the scientific journal Nature. "Finally, we believe that more powerful AI-designed hardware will fuel advances in AI, creating a symbiotic relationship between the two fields", they noted. In about six hours, the model could generate a design that optimises the placement of different components on the chip. To achieve this, the Google team used a dataset of 10,000 chip layouts for a machine-learning model, which was then trained with reinforcement learning.
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