Re: Memristor cross bar arrays for faster AI neural nets and math?

On a sunny day (Mon, 18 Mar 2024 12:37:02 -0000 (UTC)) it happened "Don"
<g@crcomp.net> wrote in <20240318a@crcomp.net>:

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
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bit like our neural nets...

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I have an issue with calling a memristor a 'computing device'. If

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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
  "
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If you accept that, then so are capacitors and inductors!

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Well you could store analog info in CMOS too, even in capacitors.
Inductors? not so sure, not so easy for a long time?

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Does core memory qualify as inductors?

No, that is magnetic storage.
You could use a stepper motor (also uses an inductor) to set a value to to some thing too.
Memory is not that hard.
Mechanical, old 78 rpm records store even music.
Books, printing.
Processing it more difficult, but we can read the books and do the math described.