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...
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!
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 accept that, then so are capacitors and inductors!
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?
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,
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...
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,
On Mon, 18 Mar 2024 04:55:14 GMT, Jan Panteltje <alien@comet.invalid>
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...
Most universities now have a team of publicists that prowl the
hallways for miracles to announce. Rags like Sciencedaily need input.
This one is even more fun:
https://www.sciencedaily.com/releases/2024/03/240314122109.htm
"The device produces energy outputs exceeding 100 volts"
Check out their source, cell.com.
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.
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.
On 3/18/24 17:01, John Larkin wrote:
On Mon, 18 Mar 2024 04:55:14 GMT, Jan Panteltje <alien@comet.invalid>
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...
Most universities now have a team of publicists that prowl the
hallways for miracles to announce. Rags like Sciencedaily need input.
This one is even more fun:
https://www.sciencedaily.com/releases/2024/03/240314122109.htm
"The device produces energy outputs exceeding 100 volts"
Check out their source, cell.com.
I'm surprised they don't claim you can charge your phone with it.
Jeroen Belleman
On Mon, 18 Mar 2024 12:37:02 -0000 (UTC), "Don" <g@crcomp.net> wrote:
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,
Sure.
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?
Mechanical, old 78 rpm records store even music.
Jan Panteltje <alien@comet.invalid> wrote:
Mechanical, old 78 rpm records store even music.
They were also used for data. The WWII transatlantic telephone
scrambler system used "one-time records" (like a one-time pad) to
synchronise the encoding and decoding of the audio bands.
(I'm not sure where I came across that, but I think it could be hidden
away in either the 'cdvandt' or the Crypto museum websites.)
Don wrote:
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?
Memory cores have a very wide hysteresis. You need a fair bit of
current to magnetize them, and when they do, they go straight into
saturation and stay there when the current is removed. You have to
reverse the current to magnetize them the other way and again will
flip the whole way.
That's why they were useful as memory. As inductors, not so much.
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