Researchers at Northwestern University, Boston College and the Massachusetts Institute of Technology (MIT), all in the US, have developed a new type of transistor for use in neuromorphic computing. The device, which works at room temperatures, can be trained to recognize similar patterns of inputs – a property known as associative learning that goes beyond standard machine-learning tasks.
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