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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.Read More
“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.”Read More
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.Read More
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.