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My knowledge in this area is incredibly limited, but I figured the paper would mention NanoWire Networks (NWNs) as an emerging physical neural network[0].

Last year, researchers from the University of Sydney and UCLA used NWNs to demonstrate online learning of handwritten digits with an accuracy of 93%.

[0] = https://www.nature.com/articles/s41467-023-42470-5




Classifying MNIST digits with 93% accuracy can also be accomplished using a linear classifier. So it isn't clear to me what the advantage would be.


That doesn't implement a trainable network on hardware, it's just creating a "reservoir" of associations between the inputs.




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