About

2019 DLRL Summer School By the Numbers (Hosted by Amii)

12,000

Applicants from 75 countries

300

Attendees from 36 countries

113

Attendees who identified as women

128

Participants from outside Canada (including 28 from low-income countries)

90

Hours of educational sessions and social events

25

Speakers

About the CIFAR Deep Learning + Reinforcement Learning School

In 2005, CIFAR’s Learning in Machines & Brains program hosted its first Deep Learning + Reinforcement Learning Summer School in Toronto, Ontario, Canada with the goal of fostering the next generation of AI researchers. Many former students are now leaders at some of the top tech firms and university labs.

Today, the DLRL Summer School is an initiative of the CIFAR Learning in Machines & Brains program and the CIFAR Pan-Canadian AI Strategy’s National Program of Activities through the AI4Good Training Program.

Every year, the DLRL Summer School is hosted in partnership with Canada’s three national AI institutes: Amii in Edmonton, Mila in Montreal, and the Vector Institute in Toronto.

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Deep Learning (DL) Summer School

Deep neural networks are a powerful method for automatically learning distributed representations at multiple levels of abstraction. Over the past decade, they have dramatically pushed forward the state-of-the-art in domains as diverse as vision, language understanding, robotics, game playing, graphics, health care, and genomics. The DL Summer School will cover both the foundations and applications of deep neural networks, from fundamental concepts to leading-edge research results.

Reinforcement Learning (RL) Summer School

Reinforcement Learning is a family of approaches for developing systems that learn optimal behaviour through interaction with an environment. In recent years, reinforcement learning has seen success as an essential component of Deep Reinforcement Learning, which has helped AI researchers achieve previously unheard of results in games like Go and in the development of autonomous vehicles. The RL Summer School will cover the basics of reinforcement learning and show its most recent research trends and discoveries, as well as present an opportunity to interact with graduate students and senior researchers in the field.

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“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

CIFAR Learning in Machines & Brains
Canada CIFAR AI Chair; Mila; Université de Montréal
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“The DLRL Summer School is an unparalleled opportunity for these young people to both learn from, and network with, the scientists who can help them launch their careers in AI.”

Blake Richards

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Mila, McGill University
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“Thanks to DLRL Summer School, I extended my personal network by meeting other student attendees like Raquel Urtasun, Mark Schmidt and Frank Wood, who are now all profs at Canadian universities and world-renowned AI researchers.”

Hugo Larochelle

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Mila, Université de Montréal
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“Beyond the learning and networking opportunities, [the #DLRL] showcases the rich AI ecosystem we enjoy in Canada. It's been a major factor in encouraging some of the brightest minds to launch their research careers here.”

Graham Taylor

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Vector Institute, University of Guelph
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“[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
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