Submitted by Rachel Gardner on Mon, 21/09/2020 - 07:52
Nic Lane, named as SIGMOBILE's Rockstar 2020 for his outstanding contributions to mobile computing, will give the keynote talk 'What is Next for the Efficient Machine Learning Revolution?' at the MobiCom 2020 conference this week.
Nic is a Senior Lecturer (Associate Professor) here, where he leads the Machine Learning Systems Lab (CaMLSys).
Alongside his academic role, he is also a Director at the Samsung AI Centre in Cambride, where he leads research in on-device and distributed machine learning. Until May 2020, Nic was an Associate Professor in the Computer Science department at the University of Oxford.
Nic was named earlier this year as recipient of SIGMOBILE's 'Rockstar' early career award for 2020. SIGMOBILE - the ACM Special Interest Group on Mobility of Systems Users, Data and computing - awards this honour annually to an individual who has made recent outstanding research or product contributions to the field of mobile computing during the early part of their career.
In his talk, which takes place on Tuesday 22 September, Nic will talk about how mobile and embedded devices increasingly rely on deep neural networks to understand the world - a formerly impossible feat that would have overwhelmed their system resources just a few years ago.
"The age of on-device artificial intelligence is now upon us," he will tell his audience. "But incredibly, these dramatic changes are just the beginning. Looking ahead, mobile machine learning will extend beyond simply classifying categories and perceptual tasks, to performing roles that alter how every part of the systems stack of smart devices function.
"This next evolution in constrained-resource computing will finally produce devices that meet our expectations in how they can learn, reason and react to the real-world."
In his talk, he will briefly discuss the initial breakthroughs that allowed us to reach this point, and outline a number of looming open problems we must overcome to bring about this next phase in the deep transformation of mobile and embedded computing.
The talk takes place on 22 September at 9:00 am Pacific Daylight Time (5:00 BST).
