Google Fellow Talks Neural Nets, Deep Learning EE Times

SAN FRANCISCO--We are already living with deep learning and large-scale neural networks, as evidenced by the growing number of applications that rely on computer vision, language understanding, and robotics. What we now want most from machine learning, said Google Senior Fellow Jeff Dean to the audience at SIGMOD 2016 keynote today (Tuesday, June 28), is --understanding." In a keynote talk, Dean outlined the history of machine learning (ML) and neural networks and various ways to program models to take advantage of raw data coming through in the form of images or audio. He also detailed how ML has taken shape at Google, which recently announced that it will open a machine learning center in Europe. The company developed its own accelerator chips for artificial intelligence it calls tensor processing units (TPUs) after the open source TensorFlow algorithms it released last year.