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Path: ...!Xl.tags.giganews.com!local-2.nntp.ord.giganews.com!nntp.supernews.com!news.supernews.com.POSTED!not-for-mail NNTP-Posting-Date: Mon, 18 Mar 2024 15:00:47 +0000 From: John Larkin <jl@997PotHill.com> Newsgroups: sci.electronics.design Subject: Re: Memristor cross bar arrays for faster AI neural nets and math? Date: Mon, 18 Mar 2024 07:59:14 -0700 Organization: Highland Tech Reply-To: xx@yy.com Message-ID: <jllgvih3dgk36rh22u1namto1q3oikl0ma@4ax.com> References: <ut8hfj$1glje$1@solani.org> <ut93d2$43ac$1@dont-email.me> <ut94l2$1gm2b$1@solani.org> <20240318a@crcomp.net> X-Newsreader: Forte Agent 3.1/32.783 MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Lines: 37 X-Trace: sv3-z1VzNzRIG+aakXaaOBODr+fN/KZIjBA0trAiY5HOjH5AvceDw4/vxIKAYpPo/Ohx47MMYgBBOmhHDNE!QE+4Kb+y6nZytYsZn3r0+LLz7ten9NdCNV0AgTotDL1hi+K4OD+PFem6ApAytZb6IewTCnRyRoEs!5qD0yw== X-Complaints-To: www.supernews.com/docs/abuse.html X-DMCA-Complaints-To: www.supernews.com/docs/dmca.html X-Abuse-and-DMCA-Info: Please be sure to forward a copy of ALL headers X-Abuse-and-DMCA-Info: Otherwise we will be unable to process your complaint properly X-Postfilter: 1.3.40 Bytes: 2445 On Mon, 18 Mar 2024 12:37:02 -0000 (UTC), "Don" <g@crcomp.net> wrote: >Jan Panteltje wrote: >> Jeroen Belleman wrote: >>> Jan Panteltje wrote: >>>> Source: >>>> University of Massachusetts Amherst >>>> Summary: >>>> A team of engineers has proven that their analog computing device, called a >>>> memristor, can complete complex, scientific >>>> computing tasks while bypassing the limitations of digital computing. >>>> https://www.sciencedaily.com/releases/2024/03/240314145325.htm >>>> >>>> bit like our neural nets... >>> >>>I have an issue with calling a memristor a 'computing device'. If >> >> If you can do matrix computations with it why not? >> quote from that llnk: >> "When organized into a crossbar array, >> such a memristive circuit does analog computing by using physical laws >> in a massively parallel fashion, substantially accelerating matrix operation >, >> the most frequently used but very power-hungry computation in neural networks >> " >> >>>If you accept that, then so are capacitors and inductors! >> >> Well you could store analog info in CMOS too, even in capacitors. >> Inductors? not so sure, not so easy for a long time? > >Does core memory qualify as inductors? > >Danke, Sure.