“The new device is built from arrays of resistive random-access memory (RRAM) cells… The team was able to combine the speed of analog computation with the accuracy normally associated with digital processing. Crucially, the chip was manufactured using a commercial production process, meaning it could potentially be mass-produced.”
Article is based on this paper: https://www.nature.com/articles/s41928-025-01477-0
It uses 1% of the energy but is still 1000x faster than our current fastest cards? Yea, I’m calling bullshit. It’s either a one off, bullshit, or the next industrial revolution.
EDIT: Also, why do articles insist on using ##x less? You can just say it uses 1% of the energy. It’s so much easier to understand.
I mean it‘s like the 10th time I‘m reading about THE breakthrough in Chinese chip production on Lemmy so lets just say I‘m not holding my breath LoL.
Look, It’s one of those articles again. The bi-monthly “China invents earth-shattering technology breakthrough that we never hear about again.”
“1000x faster?” Learn to lie better. Real technological improvements are almost always incremental, like “10-20% faster, bigger, stronger.” Not 1000 freaking times faster. You lie like a child. Or like Trump.
Analog is literally computing on the fabric of the universe.
You mean like all computers
You are dumb.
You have gotten close to understanding something profound and failed to understand that the thing in your hand also represents that profundity.
Dumby.
Computation is arranging the structure of the universe to reflect itself and something not a mind but a necessary component part thereof. All computing is literally computing on the structure of the universe. A well expressed thought to which you shall reply what? “Dumby” not even a word anyone uses. It’s not merely that you are incapable of expressing an alternative position you are not even capable of calling someone stupid correctly.
Why are you so dumby???
Because until it hits market, it’s almost meaningless. These journalists do the same shit with drugs in trials or early research.
I agree that before it’s a company selling a product it’s just dreams.
However this is serious research. Skip the journo and open the nature.com link to the scientific article.
For the ones not familiar with nature, it’s a highly regarded scientific magazine. Articles are written by researchers not journalists.
The Nature paper says they’ve done a proof of concept with a few bits, and concluded that they can reproduce it with cutting edge processors. That’s akin to ‘Mice survive cancer longer’ becoming ‘We’ve cured cancer forever’.
They might be right, but I’m not holding my breath.
Oh yeah if this advances fast it may be a product in 5 to 10 years.
This was bound to happen. Neural networks are inherently analog processes, simulating them digitally is massively expensive in terms of hardware and power.
Digital domain is good for exact computation, analog is better for approximate computation, as required by neural networks.
That’s a good point. The model weights could be voltage levels instead of digital representations. Lots of audio tech uses analog for better fidelity.I also read that there’s a startup using particle beams for lithography. Exciting times.
what audio tech uses analog for better fidelity?
Vinyl records, analog tube amplifiers, a good pair of speakers 🤌
Honestly though digital compression now is so good it probably sounds the same.
speakers are analog devices by nature.
The other two are used for the distortions they introduce, so quite literally lower fidelity. Whether some people like those distortions is irrelevant.
You want high fidelity: lossless digital audio formats.
