AI processors go mobile

ZDNet 

At its iPhone X event last week, Apple devoted a lot of time to the A11 processor's new neural engine that powers facial recognition and other features. The week before, at IFA in Berlin, Huawei announced its latest flagship processor, the Kirin 970, equipped with a Neural Processing Unit capable of processing images 20 times faster than the CPU alone. The company also has math libraries for neural networks including QSML (Qualcomm Snapdragon Math Library) and nnlib for Hexagon DSP developers. The closest thing that Qualcomm currently has to specialized hardware is the HvX modules added to the Hexagon DSP to accelerate 8-bit fixed operations for inferencing, but Brotman said that eventually mobile SoCs will need specialized processors with tightly-coupled memory and an efficient dataflow (fabric interconnects) for neural networks.