A computing device that uses tiny magnetic swirls to process data has been trained to recognize handwritten numbers. Developed by RIKEN researchers, the device shows that miniature magnetic whirlpools could be useful for realizing low-energy computing systems inspired by the brain.
Our brains contain complex networks of neurons that transmit and process electrical signals. Artificial neural networks mimic this behavior, and are particularly adept at tasks such as pattern recognition.
But artificial neural networks consume a lot of power when run on conventional silicon chips. So researchers are developing alternative platforms that are specially designed for brain-inspired computing, an approach known as neuromorphic computing.
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