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Tech Xplore on MSNSustainable AI: Physical neural networks exploit light to train more efficiently
Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.
Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.
Scientists headed by physicists Prof. Wolfram Pernice, Prof. Martin Salinga and computer specialist Prof. Benjamin Risse, all from the University of Münster (Germany), developed a so-called ...
The chip contains almost 8,400 functioning artificial neurons from waveguide-coupled phase-change material. The researchers trained this neural network to distinguish between German and English texts ...
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