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Aug 2, 2017 at 18:35 vote accept Slaus
Jul 16, 2017 at 17:37 comment added pjc50 The former: eetimes.com/document.asp?doc_id=1328877 , cognimem.com/products/chips-and-modules/CM1K-Chip ; there was some work on doing the latter but it's never been terribly successful.
Jul 16, 2017 at 16:38 comment added b degnan @Slav There's a language also that solves your problem: PYNN. We use that to program our neural network ICs.
Jul 16, 2017 at 16:27 history edited Slaus CC BY-SA 3.0
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Jul 16, 2017 at 15:32 history edited Slaus CC BY-SA 3.0
Problem spec example.
Jul 16, 2017 at 15:11 comment added Slaus @pjc50 could you please clarify: do they try to build a chip which will be a neural network or they try to build a neural network which supposed to build chips based on problem description?
Jul 16, 2017 at 14:08 comment added pjc50 There are people trying to build neural network chips for exactly this reason, although I don't know if they're commercially available yet. There is also the Cypress PSOC: cypress.com/products/psoc-analog-coprocessor
Jul 16, 2017 at 13:17 answer added user16324 timeline score: 1
Jul 16, 2017 at 13:02 comment added Slaus @bdegnan OMG are you telepathist? I specifically compared to analog ASIC since in my opinion exactly my problem could be solved by a IC mostly consisting of op-amps, because algorithm is just a bunch of comparisons if value less or more than other. But seems like there is a more specific area out there ... awesome!
Jul 16, 2017 at 11:49 comment added b degnan my analog ics are 1000x more efficient than an equivalent digital implementation. it's easy to see why from physics. look for the open access papers on processing by prof jennifer hasler
Jul 16, 2017 at 10:29 review Close votes
Jul 19, 2017 at 16:59
Jul 16, 2017 at 9:35 review First posts
Jul 16, 2017 at 20:21
Jul 16, 2017 at 9:30 history asked Slaus CC BY-SA 3.0