https://news.mit.edu/2022/analog-deep-learning-ai-computing-0728
MIT researchers created protonic programmable resistors — building blocks of analog deep learning systems — that can process data 1 million times faster than synapses in the human brain. These ultrafast, low-energy resistors could enable analog deep learning …
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