A new article on Weebit's web site:...

  1. 4,179 Posts.
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    A new article on Weebit's web site:

    https://www.weebit-nano.com/enabling-few-shot-learningai-with-reram/

    Enabling ‘Few-Shot Learning’
    AI with ReRAM


    Mario Pallo
    PhD Student

    AI training happens in the cloud because it’s compute-intensive and highly parallel. It requires massive datasets, specialized hardware, and weeks of runtime. Inference, by contrast, is the deployment phase — smaller, faster, and often done at the edge, in real time. The cloud handles the heavy lifting; the edge delivers the result. Now, recent advances in resistive memory technology are making edge AI inferencing more energy-efficient, secure, and responsive.
    At the 2025 IEEE Symposium on VLSI Technology and Circuits, researchers from CEA-Leti, Weebit Nano, and the Université Paris-Saclay presented a breakthrough in “on-chip customized learning” — demonstrating how a ReRAM-based platform can support few-shot learning using just five training updates.

    (and more ....)
    Last edited by flight11: Today, 17:09
 
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