Conférenciers et conférencières

Thank you to our sponsors

Telus, RBC, GPTZero, MDA Space, National Research Council Canada, Natural Resources Canada, OPG, Osler, Radical Ventures, Roche, TD
Telus, RBC, GPTZero, MDA Space, National Research Council Canada, Natural Resources Canada, OPG, Osler, Radical Ventures, Roche, TD

Participation confirmée

(au 13 décembre 2023)

Kelsey Allen, Vector Institute Introduction to RL (part 2)
Raj Ammanabrolu, UC San Diego NLP and Grounded Enviroments
Sara Beery, MIT AI for Science
Pablo Castro, Université de Montréal, Mila Music and AI
Angel Chang, Simon Fraser University, Amii Language and Vision in 3D
David Emerson, Vector Institute Prompt Engineering Workshop
Roger Grosse, University of Toronto, Vector Institute AI Safety
Alán Aspuru-Guzik, University of Toronto, Vector Institute Self-Driving Lab
Geoff Hinton, University of Toronto, Vector Institute Intro to Neural Networks
Sara Hooker, Cohere AI4Good
Rahul Krishnan, University of Toronto, Vector Institute Causality
Renjie Liao, UBC, Vector Institute Graph Neural Networks
Marlos Machado, University of Alberta, Amii RL and Games
Rupam Mahmood, University of Alberta, Amii Introduction to RL (part 1)
Courtney Paquette, McGill, Mila Optimization
Jacob Steinhardt, UC Berkeley AI Alignment
Victor Zhong, University of Waterloo, Vector Institute Introduction to NLP

“The #DLRL Summer School is a place of learning at the highest scientific level in world-changing research areas but also an opportunity for networking, creating connections which can stay for life and fuel future collaborations.”

Yoshua Bengio

Canada CIFAR AI Chair, Mila | Co-Director, CIFAR Learning in Machines & Brains Program |
Scientific Director, IVADO | Scientific Director, Mila | Professor, Université de Montréal
Kimberly Nestor

“Attending DLRL 2023 was such an enriching summer school experience! I had a great time academically and it allowed me to expand my knowledge about the field. I made lifelong friends and connections, while learning about potential internships and postdoctoral opportunities.”

Kimberly Nestor

Kyunghyun Cho

“I attended DLRL early in my career. The lectures were amazing and provided an opportunity to have close interaction among the participants, and it was at that point that I decided I wanted to continue to do research full time in the area of deep learning.”

Kyunghyun Cho

Associate Professor, New York University; Fellow in the CIFAR
Learning in Machines & Brains program, CIFAR Azrieli Global Scholar 2017-2019
D'jeff Kanda Nkashama

“What struck me the most was the commitment of the DLRL summer school organizers to foster inclusive AI. As a member of a minority visible group, I was fortunate to receive the CIFAR Inclusive AI scholarship that enabled me to participate fully in this enriching program. Throughout the summer school, I delved into various aspects of machine learning, spanning optimization, computer vision, natural language processing, as well as ethical AI and AI safety. The breadth and depth of knowledge covered were truly impressive.”

D'jeff Kanda Nkashama

Alona Fyshe

“[The #DLRL] is a wonderful opportunity to bring the AI leaders of tomorrow together for a fun and immersive learning experience. It’s also a great way to showcase the depth of AI knowledge and expertise that exists in Canada.”

Alona Fyshe

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Amii, University of Alberta
CIFAR Azrieli Global Scholar 2016-2018