Yann LeCun says upcoming systems from major hardware vendors that are working on specialized chips for deep learning will couple the neural network accelerators on the same die as a CPU. He foresees these being used on mobile devices for vision.
"Memristors, exotic electronic devices only confirmed to exist in 2008, have been used to create a chip that borrows design points from the brain. The prototype chip did not learn to do anything more difficult than recognize extremely simple black-and-white patterns. But larger, more complex versions might make computers better at understanding speech, images, and the world around them.
The circuitry of the chip, built by researchers at the University of California, Santa Barbara, and Stony Brook University, processes data not with digital logic circuits but with elements that mimic, in simplified form, the neurons and synapses of biological brains. When a network like that is exposed to new data, it “learns” as the synapses that connect neurons adjust the neurons’ influence on one another."
- HybrisSysadmin Consultant, 2015 - present
- Bradley UniversityBS Political Science, 1997
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