Today marks the beginning of the two-day tech event Deep Learning Summit Montreal!

Since 2015, RE•WORK, an all-female events-organizing company has been putting together events that bring “together breakthrough technology, cutting-edge science, and entrepreneurship shaping the future of business and society.” This year, the company will be bringing a summit to Canada for the first time with Deep Learning Summit Montreal.

The Deep Learning Summit Montreal is mainly designed to accommodate:

  • Data scientists
  • Data engineers
  • Machine learning scientists
  • CTOs
  • Founders
  • Engineering Directors
  • CEOs
  • Other individuals involved with deep learning

The event will serve as an opportunity for attendees to discover advances in deep learning algorithms and methods from the pioneers who are currently paving the way to improve its research studies.

#reworkDL Summit Montreal is kicking off today! Are you attending?Click To Tweet

In addition to that, the Summit will also enable each individual to learn from leading innovators in deep learning frameworks, neural networks, transfer learning, GPUs, and many more.

From a global roster of experts, Summit attendees will learn the latest progress towards technological advancements. Furthermore, the Deep Learning Summit Montreal will explore the newest machine learning findings and real-world impact of deep learning.

It will also be a good way for data scientists and other researchers to expand their network through interaction with academic leaders, influential technologists, other data scientists, and founders of today’s leading deep learning institutions.

The Summit will cover topics such as:

  • Neural networks
  • NLP
  • Computer vision
  • Pattern recognition
  • Speech recognition
  • AI Assistants
  • Image retrieval
  • Autonomous vehicles

The 2017 Deep Leaning Summit Montreal will be held at the Hyatt Regency Montreal in downtown Montreal’s Quartier des spectacles. It will be a two-day event starting today, October 10th to 11th.

Deep Learning Summit Montreal: Speakers

The Deep Learning Summit Montreal is divided into two tracks: Track 1 Research and Advancements and Track 2 Business Applications.

The welcoming note for Track 1 will be delivered by Siraj Khaliq, a Partner at Atomico, Europe’s largest entrepreneur-led independent VC fund. Track 2 opening note will be delivered by Lisha Li, a Principal at Amplify Partners.

Speakers for Track 1 include:

  • Yoshua Bengio, Full Professor, Université de Montréal
  • Yann LecunDirector of AI Research, Facebook
  • 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-Francois 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, Allen School of Computer Science/ Facebook
  • Adel El-Hallak, Director of Product Management for Deep Leaning, IBM
  • David Sadek, Vice President of Research & Technology, Thales
  • Jianchao Yang, Lead Research Scientist, Snap Inc.
  • Michael Gschwind, Chief Engineer, Machine Learning and Deep Learning, IBM

Speakers for Track 2 include:

  • Shameer Khader, Program Director of Machine Learning & Data Science, Northwell Health
  • Illia Polosukhin, Co-Founder & CTO, NEAR.AI
  • Benoit Julien, IT Advisor, National Research Council Canada
  • Nima Shabazi, Co-Founder, Deepnify
  • Gary BrotmanDirector, AI Product Management, Qualcomm Technologies
  • David SadekmVice President, Research & Technology, Thales
  • Lakshmi Subramanian, Co-Founder, Entrupy
  • Augustin Marty, Co-Founder & CEO, Deepomatic
  • Alexandre Le Bouthillier, CEO, Imagia
  • Hanlin TangStaff Algorithms Engineer, Intel
  • Dimitry Kislyuk, Engineering Manager, Pinterest
  • Bassem Monla, AI Subject Matter Expert, IM Quebec
  • Samir Kumar, Managing Director, Microsoft Ventures
  • Clement Farabet, VP of AI Infrastructure, NVIDIA
  • Alessandro MagnaniDistinguished Data Scientist, Walmart Labs
  • Joaquin Quinonero CandelaDirector of Applied Machine Learning, Facebook
  • Sam Zimmerman, CTO, Freebird
  • Geoffrey Hinton, Professor, University of Toronto
  • Miles Lynams-SmithChief Programme Owner, Deutsche Telekom
  • Doina Precup, Associate Professor, McGill University
  • Kaheer Suleman, CTO & Co-Founder, Maluuba
  • Maithili Mavinkurve, Founder & COO, Sighline Innovation
  • Wally Trenholm, Founder & CEO, Sightline Innovation

Other speakers will be introduced during the event.

Deep Learning Summit Montreal: Agenda

October 10th

Track 1

  • Registration & Light Breakfast
  • Welcome Note
  • Deep Leaning in Production
  • The Commercialization of Deep Learning
  • The Commercialization of Deep Learning
  • IBM Watson Deep Learning: From Research to Real Applications
  • Industry-Grade Deep Learning
  • Launching AI in Enterprise: Success Factors
  • How AI Will Shift Operations From ‘Command & Control’ to ‘Learn & Adapt’
  • Plenary Session
  • Deep Learning and Cognition
  • Dynamic Routing With Capsules
  • How Could Machines Learn as Efficiently as Animals and Humans?
  • Panel of Pioneers
  • Thales Group Special Announcement
  • Conversation & Drinks

Track 2 (Happening at the same )

  • Registration & Light Breakfast
  • Welcome Note
  • Visual Reasoning via Feature-wise Linear Modulation
  • Deep Learning for Self-Learning Cars
  • Learning Lip Sync from Audio
  • Common Sense Video Understanding at TwentyBN
  • Learning (Discrete) Optimization
  • Learning with Little Data
  • Stable Reinforcement Learning from Sensor Data
  • Deep Learning and Cognition
  • Dynamic Routing With Capsules
  • How Could Machines Learn as Efficiently as Animals and Humans?
  • Panel of Pioneers
  • Thales Group Special Announcement
  • Conversation & Drinks

October 11th

Track 1

  • Light Breakfast
  • Welcome Note
  • The Goldilocks Principle of Data Engineering
  • Why Do Corporations Need to Own Their Data?
  • Imaging Precision Medicine, Beyond Deep Learning models
  • Trustworthy Deep Learning
  • PANEL: The Deep Learning EcoSystem in Montreal
  • Visual Search in the Deep Learning Era
  • Building AI-Powered Social Infrastructure at Facebook Scale
  • Saving Hearts Using Artificial Intelligence
  • Mobile Innovation – The Key to AI @ The Edge
  • Use Case Within Retail: Deep Learning @WalmartLabs
  • Reducing Demand Forecast Error with Deep Learning
  • Writing Programming Code with Deep Learning
  • END OF SUMMIT

Track 2

  • Light Breakfast
  • Welcome note
  • Deep Learning for Computer Graphics: Learning to Estimate Lighting From Photographs
  • Deep Learning on DNA
  • Advances in Deep Architectures and Methods for Separating Vocals in Recorded Music
  • Generalizing From Few Examples With Meta-Learning
  • Deep Learning, Where Are You Going?
  • Deep Learning in Speech Recognition
  • The Next Generation of AI Chips
  • Towards Perceptual Machines That See, Converse, and Reaso
  • Learning from Video: Recognizing Actions and Localizing Moments with Natural Language
  • Unsupervised Domain Adaptation with Adversarial Network
  • Composing Graphical Models With Neural Networks for Structured Representations and Fast Inference
  • Divide and Conquer Networks
  • END OF SUMMIT

Workshops

Day 1

  • Stepping Stones in an AI Strategy for the Workplace

Day 2

  • Explainable by Design AI Is the Real Challenge
  • Journey to the Cognitive Era with IBM – How to leverage Deep Learning to win the AI Arms Race

Interested individuals could register and buy their tickets here.

Will you be attending the event? From the list of agendas for the Deep Learning Summit Montreal, which one do you think is timely and relevant? Let us know in the comment section below!

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