- 2 Tracks
- 30 Speakers
- 600 Attendees
- Canada
Confirmed speakers from Track 1 listed below. See the Track 2 agenda here.
Yoshua Bengio
Full Professor
Université de Montréal
Yann LeCun
Director of AI Research
Geoffrey Hinton
Professor
University of Toronto
Aaron Courville
Assistant Professor
University of Montreal
Roland Memisevic
Chief Scientist
Twenty Billion Neurons
Greg Diamos
Senior Researcher
Baidu
Joelle Pineau
Associate Professor
McGill University
Bryan Russell
Research Scientist
Adobe Research
Lisha Li
Principal
Amplify Partners
Herke van Hoof
Post-Doctoral Fellow
McGill University
Alex Acero
Senior Director of Siri
Apple
Shyam Thyagaraj
Managing Director in Technology
Accenture
Eric Humphrey
Research Scientist
Spotify
Joan Bruna
Assistant Professor
New York University
Jean-François Lalonde
Assistant Professor
Université Laval
Andrea Lodi
Professor
École Polytechnique de Montréal
Richard Zemel
Co-Founder & Director of Research
Vector Institute
Jasper Snoek
Research Scientist
Google Brain
David Duvenaud
Assistant Professor
University of Toronto
Sanja Fidler
Assistant Professor
University of Toronto
Hugo Larochelle
Research Scientist
Google Brain
Raquel Urtasun
Head
Uber ATG/University of Toronto
Kyunghyun Cho
Assistant Professor of Computer Science and Data Science
New York University
Ira Kemelmacher-Shlizerman
Assistant Professor/Researcher
Allen School of Computer Science/Facebook
Adel el-Hallak
Director of Product Management for Deep Learning
IBM
David Sadek
Vice President, Research & Technology
Thales
Jianchao Yang
Lead Research Scientist
Snap Inc
Michael Gschwind
Chief Engineer, Machine and Deep Learning
IBM
“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.
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.
Researchers have developed a machine learning algorithm that can turn audio clips into realistic, lip-synced videos. A video shows former US president Barack Obama apparently speaking on a number of subjects including terrorism, though the clips were artificially generated using existing video addresses.
Computer scientists from the University of Toronto have created a software program that helps users avoid fashion faux pas. Raquel Urtasun and Sanja Fidler, along with colleagues in Spain, designed an algorithm that analyzes a person’s photograph to determine whether the wearer’s outfit is stylish. It also suggests ways to improve the ensemble and the subject’s overall appeal.
"A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data". In this paper Hugo Larochelle explores how to successfully apply and extend DocNADE to multimodal data, such as simultaneous image classification and annotation.
Discover advances in deep learning algorithms and methods from the pioneers who are paving the way in research and scientific improvements. Learn from leading innovators in deep learning frameworks, neural networks, transfer learning, GPUs and more.
The summit will explore the latest research findings in deep learning and the real world impact these may have. Where do the challenges still lie in research and application? Learn about the latest progress towards technological advancements from a global line-up of experts.
A unique opportunity to interact with academic leaders, influential technologists, data scientists & founders leading the deep learning revolution. Learn from & connect with 450+ academic industry innovators sharing best practices to advance the smart artificial intelligence revolution.
View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.
Neural Networks
NLP
Computer Vision
Pattern Recognition
Speech Recognition
AI Assistants
Image Retrieval
Autonomous Vehicles
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
@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
@seanlorenz
"'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
@fet_eu
"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
23 January 2018, San Francisco
Leading minds in machine intelligence will come together for an evening of networking and keynote presentations. Join us for a three course meal to support women in AI and Machine Intelligence.
25 January 2018, San Francisco
The next generation in predictive intelligence. Anticipating user & business needs to alert & advise logical steps to increase efficiency. The summit will showcase the opportunities of advancing trends in AI Assistants & their impact on business & society. What impact will predictive intelligence have on business efficiency & personal organization?
25 January 2018, San Francisco
The Deep Learning Summit is the next revolution in artificial intelligence. The increasingly popular branch of machine learning explores advances in methods such as image analysis, speech and pattern recognition, natural language processing, and neural network research. This summit will explore how deep learning algorithms and methods are being applied to solve challenges in industries including healthcare, manufacturing, transport, security and communications.
Is a Chief AI Officer needed to drive an AI strategy?
Deep Learning Summit Montreal • Attendee Highlights
Can we train machines without examples? Interview with Ian Goodfellow
The Deep Learning Ecosystem in Montreal
Uber, Google Brain, Facebook & More - what did you miss in Montreal?
