RISC-V boom from edge AI says Facebook's chief AI scientist: Page 2 of 2

October 15, 2020 // By Nick Flaherty
RISC-V boom from edge AI
A boom in low cost edge AI chips using the RISC-V technology is coming says Facebook’s chief AI scientist Yann LeCun

“Ten years from now is there going to be some breakthrough in spintronics or whatever that will allow analogue computation without hardware multiplexing?” he asked. “Can we come up with something like that that will reduce the size of the equipment so much for a single chip without data shuffling and without hardware multiplexing, that’s a big challenge,” he said.

“Companies are developing the technology of 1nm and 2nm for the next generation of chips and I strongly believe we can do things differently, with the sensor, the neural network and the controller for the future of the hardware,” said Emmanual Sabonnadiere, CEO of Leti. “We are trying to have national plans and have a piece of science in the political decisions. Edge AI is about stopping the data deluge and the privacy of data so people can own their own data.”

Leti also part of the Europe-wide neural network programme looking at a new platform for neural network chips.

“There is a new generation of technology to be investigated,” said Jean Rene Lequeypes, deputy CEO and CTO of CEA-Leti. “Now we are more than 2000 people working on what the next generation will be. Imec in Belgioum, Fraunhofer in Germany and Leti are working on one platform for edge AI and on top of that we are working in Inria in Grenoble to invent what we think the next support that Facebook and the big companies in Silicon Valley will need.”

The challenge is to integrate all the different elements without having to use the extreme UV lithography required at 5nm and below.

“We want to have the ultimate performance 1000TOPS/mW which is a very big challenge and how to work with the memories, the different technologies and how you integrate that without having to go to EUV,” said Lequeypes.


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Yann LeCun, chief AI scientist at Facebook

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