MIT researchers have pushed the speed limits of analog deep learning - Interesting Engineering

MIT scientists have managed to build neural networks that are both faster and cheaper to produce while using less energy.

The newly developed material is compatible with silicon fabrication techniques and could pave the way for integration into commercial computing hardware for deep-learning applications. With that key… [+1087 chars]

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