Neuromorphic magnetic nanowires
Researchers from the University of Texas at Austin, University of Texas at Dallas, and Sandia National Laboratory propose a neuromorphic computing method using magnetic components. The team says this approach can cut the energy cost of training neural networks.
"Right now, the methods for training your neural networks are very energy-intensive," said Jean Ann...
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