Neuromorphic chips are destined for deep learning - or obscurity
- July 29, 2021
- Emre Neftci, cognitive sciences, IEEE Spectrum, July 29, 2021
Starting in the 1990s, artificial intelligence researchers made a number of theoretical advances involving the design of the “neural networks" that had been used for decades for computational problem solving, though with limited success. [Associate Professor of cognitive science] Emre Neftci, with the University of California, Irvine's Neuromorphic Machine Intelligence Lab, said that when combined with faster silicon chips, these new, improved neural networks allowed computers to make dramatic advances in classic computing problems, such as image recognition.
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