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

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

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  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?
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Danke,