Google supercharges machine learning tasks with TPU custom chip

Re:Google supercharges machine learning tasks with TPU custo... by skaevola on Friday May 20, 2016 @04:59PM (#11741472)

This video was very cool. Are there any IC's that can perform analog computing for neural networks on the market now? I'm picturing something like an FPGA but with a bunch of op amps that you can connect into summers or amplifiers.

If not, how would one practically implement an analog computer for neural network programming (without several tables full of op-amps?)

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Re:Google supercharges machine learning tasks with TPU custo... by read_only on Monday May 23, 2016 @01:24PM (#11755305)

Glad you liked the video!

You can implement an analog neural network yourself using a Field Programmable Analog Array. (I've never done it, but you'll see academics online writing papers about it.)

Another thing that is sort of related is Lyric Semiconductor; they built these cool application-specific probabilistic processors; they were purchased by Analog Devices a while back.

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