New Delhi: A team of Google researchers working on to design next-generation artificial-intelligence (AI) chip 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.
It is expected that in about six hours, the model could generate a design that optimises the placement of different components on the chip.
The Google team has used a dataset of 10,000 chip layouts for a machine-learning model, which was then trained with reinforcement learning, to achieve this chip design.
"These superhuman AI-generated layouts were used in Google's latest AI accelerator (TPU-v5)!" said Anna Goldie, research scientist at Google Brain, who took part in the research, said in a tweet.
"In under six hours, our method automatically generates chip floor plans that are superior or comparable to those produced by humans in all key metrics, including power consumption, performance and chip area," said Google AI team.
(With IANS inputs)