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From: "Don" <g@crcomp.net>
Newsgroups: sci.electronics.design
Subject: Re: Memristor cross bar arrays for faster AI neural nets and math?
Date: Mon, 18 Mar 2024 12:37:02 -0000 (UTC)
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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,

-- 
Don, KB7RPU, https://www.qsl.net/kb7rpu
There was a young lady named Bright Whose speed was far faster than light;
She set out one day In a relative way And returned on the previous night.