Chips for Deep learning continue to leapfrog in capabilities and efficiency
Deep learning has continued to drive the computing industry’s agenda in 2016. But come 2017, experts say the Artificial Intelligence community will intensify its demand for higher performance and more power efficient “inference” engines for deep neural networks. The current deep learning system leverages advances in large computation power to define network, big data sets …