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    Light-Powered Matrix Multiplications Fuel Processing Capabilities

    Article obtained from Photonics RSS Feed.

    Through an international collaboration, researchers from the University of Münster have developed photonic processors that combine processing and data storage on a single chip.

    Led by Wolfram Pernice, a professor at the Institute of Physics and the Center for Soft Nanoscience at the University of Münster, the researchers developed a hardware accelerator for so-called matrix vector multiplications, which serve as the backbone of neural networks. The team’s process featured the combination of photonic structures with PCMs (phase-change materials) as energy-efficient storage elements.
    Schematic representation of a processor for matrix multiplications that runs on light. Courtesy of University of Oxford. “The…

    Jan, 11 2021 |

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