A low-power AI alternative to neural networks

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Researchers at the University of Newcastle have implemented a non-neural-network hardware that can significantly cut the power consumption of artificial intelligence. The team trained a neural network, and their technology – a ‘Tsetlin machine’ – to recognise hand written digits from the standard MNIST data set. “Using an out-of-the-box neural network we could get less …

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