Neural Networks Go Nano: Brain-Inspired Learning Takes Flight

Researchers from the University of Sydney and UCLA have developed a physical neural network that can learn and remember in real-time, much like the brain’s neurons. This breakthrough utilizes nanowire networks that mirror neural networks in the brain. The study has significant implications for the future of efficient, low-energy machine intelligence, particularly in online learning settings.

Critical step passed for developing agile, low-energy machine intelligence.

For the first time, a physical neural network has successfully been shown to learn and remember ‘on the fly’, in a way…

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News Source: scitechdaily.com


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