Program

2025 AGENDA

More information to be updated shortly.

Week 1

Day 1

Intro to Deep Learning
Intro to Reinforcement Learning
Empirical AI Research
AI-Driven Startups

Day 2

Vision
Natural Language Processing
AI for Science
AI Safety

Day 3

Transformers and Generative AI
Deep Reinforcement Learning
Model-Based Reinforcement Learning
Graph Neural Networks

Day 4

Deep Learning Topic
Reinforcement Learning Topic
Science Panel
Startup Panel

Week 2

Hands-on daily sessions plus tutorials and talks that will help participants with their projects.

Speakers

Rich Sutton

Canada CIFAR AI Chair | Associate Fellow, CIFAR Learning in Machines & Brains | Distinguished Research Scientist, DeepMind | Chief Scientific Advisor, Amii | Professor, University of Alberta

Martha White

Canada CIFAR AI Chair | Fellow, Amii | Director of RLAI, Professor, University of Alberta

See video highlights & speakers from previous years

“[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

“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

“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

“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

“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