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

On a sunny day (Mon, 18 Mar 2024 11:02:33 +0100) it happened Jeroen Belleman
<jeroen@nospam.please> wrote in <ut93d2$43ac$1@dont-email.me>:

On 3/18/24 05:55, 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?