RTDL 2017: IEEE Swiss Circuits and Systems “Real-time deep learning” Workshop
Many thanks to all the great presenters of talks, posters and demos and to the lively participants.
Photos of the event are available here.
Reason for workshop: Autonomous driving and flying, mobile devices, domotics, and IoT are rapidly driving the development of both deep learning models and quick, power-efficient deep neural network inference accelerators. At the same time, theory advances are enabling potential incremental, online and reinforcement learning methods that might be computed on devices rather than in the cloud. Come to this workshop to hear about the latest results from these real-time deep neural networks. The workshop includes talks, poster/demo sessions and apero to promote lively discussions and networking in this fast-growing field.
Background: This workshop is one of a series organized by Swiss CAS/ED, including the 2011 “Swiss Image and Vision Sensors” and the 2014 “Memristive Devices and Neuromorphic Applications” workshops, along with several student workshops and a series of IEEE CAS/ED distinguished lectures.
Organizers: IEEE Swiss Chapter of Circuits and Systems and Electron Devices Society
Date: Tuesday 05.12.2017, 9:30 to ~19:00
Place: UZH Irchel Campus, Room Y15 G19; demo, poster and apero area in corridor between Y15 G19 and building Y55. (See map at the bottom of the page.)
Final Schedule. All presentations will be in English.
Title (see here for abstracts)
Coffee, poster/demo setup, in hallway on Floor F between building 19 and 55
Welcome and IEEE Swiss CAS/ED news
Real-time segmentation using deep learning for medical imaging
Learning Towards Real-Time Stereo Inference
Deep learning applications to mobile robotics: navigating natural environments and interacting with people
Coffee Break (20m)
Exploiting spatial sparsity and event cameras for data driven CNN acceleration
Exploiting Input Timing Information and Temporal Sparsity in Recurrent Deep Networks
Standing Lunch and Posters (1h40)
Computational memory: Towards non-von Neumann accelerators
Micropower deep Learning: toward pj/OP and beyond
Short break (10m)
Deep-Learning for Intelligent Human Machine Interaction
Short break (10m) setup for special event
Special event (20m) - Machine Learning Jeopardy. A battle of deep knowledge of machine learning facts and trivia between teams of “experts”
Group photo (5m) - front of lecture hall
Poster, Demonstrations, and Happy Hour in Corridor
Registration cost: 80/60 CHF for postdocs and above, 40/30 CHF for phd students and below (non-IEEE/IEEE member). Lunch and Happy Hour apero included.
See here for a map of UZH Irchel Campus. To get to workshop, take tram to either Irchel or Milchbuck tram stops and follow UZH signs to Room Y15 G19 (Y15 is the building and G means level G).