A First, Physical System Learns Nonlinear Tasks Without a Traditional Computer Processor
July 06, 2024
July 06, 2024
PHILADELPHIA, Pennsylvania, July 6 (TNSres) -- The University of Pennsylvania School of Arts and Sciences issued the following news:
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Penn physics and engineering researchers have created a local learning network that is fast, low-power, and scalable.
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Scientists run into a lot of tradeoffs trying to build and scale up brain-like systems that can perform machine learning. For instance, artificial neural networks are capable of learnin . . .
* * *
Penn physics and engineering researchers have created a local learning network that is fast, low-power, and scalable.
* * *
Scientists run into a lot of tradeoffs trying to build and scale up brain-like systems that can perform machine learning. For instance, artificial neural networks are capable of learnin . . .