Intel: Chips Like a Brain
July 18, 2019
We noted “Intel Unveils Neuromorphic Computing System That Mimics the Human Brain.” The main idea is that Intel is a chip leader. Forget the security issues with some Intel processors. Forget the fabrication challenges. Forget the supply problem for certain Intel silicon.
Think “neuromophic computing.”
According to the marketing centric write up:
Intel said the Loihi chips can process information up to 1,000 times faster and 10,000 times more efficiently than traditional central processing units for specialized applications such as sparse coding, graph search and constraint-satisfaction problems.
Buzz, buzz, buzz. That’s the sound of marketing jargon zipping around.
How about this statement, offered without any charts, graphs, or benchmarks?
With the Loihi chip we’ve been able to demonstrate 109 times lower power consumption running a real-time deep learning benchmark compared to a graphics processing unit, and five times lower power consumption compared to specialized IoT inference hardware,” said Chris Eliasmith, co-chief executive officer of Applied Brain Research Inc., which is one of Intel’s research partners. “Even better, as we scale the network up by 50-times, Loihi maintains real-time performance results and uses only 30% more power, whereas the IoT hardware uses 500% more power and is no longer in real-time.”
Excited? What about the security, fab, and supply chain facets of getting neuromorphic disrupting other vendors eager to support the artificial intelligence revolution? Not in the Silicon Angle write up.
How quickly will an enterprise search vendor embrace “neuromorphic”? Proably more quickly than Intel can deliver seven nanometer nodes.
Stephen E Arnold, July 18, 2019
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