This event is in the past
Confirmed speakers from Track 2 listed below. See the Track 1 agenda here.
Program Director of Machine Learning & Data Science
Co-Founder & CTO
Director of Product Management for Deep Learning
National Research Council Canada
Director, AI Product Management
Vice President, Research & Technology
Co-Founder & CEO
Staff Algorithms Engineer
AI Subject Matter Expert
Managing Director in Technology
VP of AI Infrastructure
Distinguished Data Scientist
Director of Applied Machine Learning
University of Toronto
Chief Programme Owner
CTO & Co-Founder
Founder & COO
Université de Montréal
Director of AI Research
Chief Engineer, Machine and Deep Learning
Founder & CEO
There are some estimates that five percent of all AI talent within the private sector are currently employed by Google. Perhaps no one among that rich talent pool has as deep a set of perspectives as Geoff Hinton. He has been involved in AI research since the early 1970s, which means he got involved before the field was really defined.
“Today’s models can be trained on huge quantities of data, but that’s not enough,” says Bengio, who together with LeCun and Google’s Geoffrey Hinton is one of the original musketeers of deep learning. “We need to discover learning algorithms that can take better advantage of all this unlabeled data that’s sitting out there.”
Yann LeCun once built an AI chip called ANNA. But he was 25 years ahead of his time. He and several other researchers designed this chip to run deep neural networks—complex mathematical systems that can learn tasks on their own by analyzing vast amounts of data—but ANNA never reached the mass market.
Discover applications of deep learning across industries including healthcare, manufacturing, finance, retail and utilities from the world's leading experts in natural language processing, speech recognition, computer vision, reinforcement learning, and image recognition.
The summit will explore how to apply deep learning frameworks and methods to gain new insights into your business in areas including: predictive maintenance, risk analysis, demand and supply optimization, sentiment analysis, personalization, and market targeting.
A unique opportunity to interact with industry leaders, influential research scientists, C-level executive & founders leading the next stage of deep learning. Learn from & connect with 250+ industry innovators sharing best practices to apply deep learning to your industry.
Business Case Studies
Conveniently located in downtown Montreal’s Quartier des spectacles. Hyatt Regency Montreal is steps away from Old Montreal, Chinatown, the trendiest restaurants and popular attractions of Montreal and only 20 minutes away from Pierre Elliott Trudeau Airport.
Chief Knowledge Officer, NASA
"Excellent event. Good combination of highly technical and broader presentation that gave me a good understanding of the current state and potential of the Deep Learning" RE•WORK Deep Learning Summit San Fran 2015
Director of IoT Market Strategy, Xively
"'I’ve been to countless IoT events, and this was hands down one of the most interesting. It was nice to see actual people building actual connected products giving their perspective." RE•WORK IoT Summit Boston 2015
Future & Emerging Technologies Unit
"RE•WORK provided a unique mix of technology, from the exploration of latest scientific findings to startups that can make them a reality" RE•WORK Technology Summit London 2014
25 October 2018, Toronto
Deep Learning is quickly becoming a core technology for businesses from helping to optimize efficiency to increased forecasting capabilities to providing increased automation. What problems can deep learning solve in your business? How can it be practically applied in industry?