Coming soon: Apply for the DLRL Summer School

Applications open late February 2021!

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Every year, the CIFAR Deep Learning + Reinforcement Learning Summer School brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning.

The 2021 DLRL Summer School will be hosted by CIFAR in partnership with our three national AI institutes: Amii in Edmonton, Mila in Montreal and the Vector Institute in Toronto.

Due to COVID-19, a virtual edition of the summer school will be held this summer. Registration for the DLRL Summer School opens late February 2021.

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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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