Smartphones Will Get Even Smarter With On-Device Machine Learning

This is a guest post. The views expressed in this article are solely those of the author and do not represent positions of IEEE Spectrum or the IEEE. Engineers are on the cusp of on-device machine learning, as evidenced by the first NIPS workshop on the subject in late 2017, and the advent of new neural processors, such as Kirin 970 from Huawei and Snapdragon 845 from Qualcomm. Thus far, progress in artificial intelligence has been fueled primarily by the availability of data and more computing power. Classical machine learning has mostly been built on a single central node (usually in a data center) with full access to a global dataset and a massive amount of storage and computing power.