For further information, please contact the General chair: Pierre-Emmanuel Gaillardon
Buzzword spotting: Machine learning at the edge of a trillion node IoT
We live in an era of overlapping trends. A revolution in machine learning is happening at the same time as a previous revolution in semiconductor capability is winding down. Smartphones have dramatically changed the world over the last decade, but how much better is your current phone than your previous one? A trillion node IoT is possible, but what will it do? There are many opportunities ahead, but the rapidly changing environment may mislead our intuition about them. This talk looks at today's competing trends and the technology underlying them, and discusses methodical approaches to get past the hype to find some promising avenues going forward.
Dr. Rob Aitken is an Arm Fellow responsible for technology direction at Arm Research. He works on a variety of topics including distributed systems, low power design, technology roadmapping, and next generation memories. He has worked on more than 15 Moore's law nodes and has published over 80 technical papers. Rob joined Arm as part of its acquisition of Artisan Components in 2004. Prior to Artisan, he worked at Agilent and HP. He holds a Ph.D. from McGill University in Canada. Rob is an IEEE Fellow and serves on a number of conference and workshop committees.