Neural Networks Go Nano: Brain-Inspired Learning Takes Flight

The result opens a pathway for developing efficient and low-energy machine intelligence for more complex, real-world learning and memory tasks.Electron microscope image of the nanowire neural network that arranges itself like ‘Pick Up Sticks’. The junctions where the nanowires overlap act in a way similar to how our brain’s synapses operate, responding to electric current.

Electron microscope image of electrode interaction with the nanowire neural network. Credit: The University of Sydney Lead author Ruomin Zhu from the University of Sydney holding the chip designed to manage the nanowire neural network. Credit: The University of Sydney Supervising researcher and co-author Professor Zdenka Kuncic from the University of Sydney Nano Institute and School of Physics. Credit: The University of Sydney

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