A low-power AI alternative to neural networks

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 less than ...

This story continues at A low-power AI alternative to neural networks

Or just read more coverage at Electronics Weekly

from News – Electronics Weekly https://ift.tt/2D9rHUi
via Yuichun