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From: Jeroen Belleman <jeroen@nospam.please>
Newsgroups: sci.electronics.design
Subject: Re: Memristor cross bar arrays for faster AI neural nets and math?
Date: Mon, 18 Mar 2024 17:20:58 +0100
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On 3/18/24 11:49, Liz Tuddenham wrote:
> Jeroen Belleman <jeroen@nospam.please> wrote:
> 
>> 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
>> you accept that, then so are capacitors and inductors!
> 
> I don't see the problem.  Switches, relays, beads on a string can all be
> computing devices - and not all of them have 'memories'.  Pots have been
> used as computing elements on the front panel of analogue computers for
> years, so what is the difference between them (set by hand) and a
> memristor (set electronically)?
> 
> ...and yes, capacitors are definitely computing devices: Blumlein/Miller
> integrator.

Well, then so is any electronic component.

I'm old enough to have played with analog computers. They were
fun to solve differential equations with. Not necessarily
electronic, either. I've also done it with pneumatic stuff,
bellows, nozzles and flapper valves, and with water levels in
vertical pipes. Those were real fun too. You could *see* what
was going on without instrumentation.

It's been quite a while since I last did that, though. These
days, everything is electronic.

Jeroen Belleman