Meet the world's leading pioneers advancing deep learning research in the 'Silicon Valley of Deep Learning'.

Join the conversation #REWORKDL

Speakers

Confirmed speakers from Track 1 listed below. See the Track 2 agenda here.

Original
Yoshua Bengio

Full Professor

Université de Montréal

Original
Yann LeCun

Director of AI Research

Facebook

Original
Geoffrey Hinton

Professor

University of Toronto

Original
Aaron Courville

Assistant Professor

University of Montreal

Original
Roland Memisevic

Chief Scientist

Twenty Billion Neurons

Original
Greg Diamos

Senior Researcher

Baidu

Original
Joelle Pineau

Associate Professor

McGill University

Original
Bryan Russell

Research Scientist

Adobe Research

Original
Lisha Li

Principal

Amplify Partners

Original
Herke van Hoof

Post-Doctoral Fellow

McGill University

Original
Alex Acero

Senior Director of Siri

Apple

Original
Shyam Thyagaraj

Managing Director in Technology

Accenture

Original
Eric Humphrey

Research Scientist

Spotify

Original
Joan Bruna

Assistant Professor

New York University

Original
Jean-François Lalonde

Assistant Professor

Université Laval

Original
Andrea Lodi

Professor

École Polytechnique de Montréal

Original
Richard Zemel

Co-Founder & Director of Research

Vector Institute

Original
Jasper Snoek

Research Scientist

Google Brain

Original
David Duvenaud

Assistant Professor

University of Toronto

Original
Sanja Fidler

Assistant Professor

University of Toronto

Original
Hugo Larochelle

Research Scientist

Google Brain

Original
Raquel Urtasun

Head

Uber ATG/University of Toronto

Original
Kyunghyun Cho

Assistant Professor of Computer Science and Data Science

New York University

Original
Ira Kemelmacher-Shlizerman

Assistant Professor/Researcher

Allen School of Computer Science/Facebook

Original
Adel el-Hallak

Director of Product Management for Deep Learning

IBM

Original
David Sadek

Vice President, Research & Technology

Thales

Original
Jianchao Yang

Lead Research Scientist

Snap Inc

Original
Michael Gschwind

Chief Engineer, Machine and Deep Learning

IBM

More Speakers Coming Soon

Get to know the speakers

Original

“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
Original

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
Original

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
Original

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.

Read More
Original

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.

Read More
Original

"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.

Read More

Why Attend

Speakers

Extraordinary Speakers

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.

Tech

Discover Emerging Trends

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.

Network

Expand Your Network

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.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Machine Learning Scientists
  • CTOs
  • Founders
  • Director of Engineering
  • CEOs
Speechbubbles

Join the discussion

  • Silicon Valley of Deep Learning
  • 30 speakers
  • 400 leading technologists & innovators
  • Access to sessions in Track 2
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
Document

Downloads

View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

Topics we cover

Neural Networks
Neural Networks
NLP
NLP
Computer Vision
Computer Vision
Pattern Recognition
Pattern Recognition
Speech Recognition
Speech Recognition
AI Assistants
AI Assistants
Image Retrieval
Image Retrieval
Autonomous Vehicles
Autonomous Vehicles

Confirmed Attendees Include

Autodesk1
SAP
Honda
raptor
Shopify
Envision.AI
CBC Radio Canada
Universite de Montreal
Innodata
Microsoft
huawei
Zalando
Amazon
Adobe
Ericsson
Emdalo
Xpertsea
Thales

Register

This event is in the past. View upcoming events here. Or catch up on the Video Hub.

Sponsored by

Nervanintel.001
Power.001
Cdpq.001
Ibmcad2017.001
Maluuba 2017.001
Element ai logo.001
Nvidia usa.001
Acc1.001
Portag.001
Diagram.001
Thales.001
Qualnew.001

Exhibitors & Startup Showcase Area

Media Partners & Press

As Featured In

Original
Original
Original
Original
Original