“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

  • Melobol@lemmy.ml
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    20 hours ago

    Edit: I removed a chatgtp generated summary because I thought it could have been useful.
    Anyway just have a good day.

    • Trainguyrom@reddthat.com
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      5 hours ago

      The article is like 5 paragraphs, not even a single sheet of paper if printed (with the unneeded images and ads excluded of course). Why does it need a summary‽

      • Melobol@lemmy.ml
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        1 hour ago

        The summary was for the paper the article was based on. And it was also put it in an easier to understand language.

      • Melobol@lemmy.ml
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        20 hours ago

        In that case I’m editing it. I’m sorry for my mistake, I thought it would be useful to a point. That’s why I said it was AI.

    • bcovertigo@lemmy.world
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      18 hours ago

      I appreciate that you wanted to help people even if it didn’t land how you intended. :)

    • kalkulat@lemmy.worldOP
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      19 hours ago

      It was a decent summary, I was replying when you pulled it. Analog has its strengths (the first computers were analog, but electronics was much cruder 70 years ago) and it is def. a better fit for neural nets. Bound to happen.

    • kalkulat@lemmy.worldOP
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      20 hours ago

      Nice thorough commentary. The LiveScience article did a better job of describing it for people with no background in this stuff.

      The original computers were analog. They were fast, but electronics was -so crude- at the time, it had to evolve a lot … and has in the last half-century.