DLRL Summer School students and faculty pose together on the final day of class
DLRL Summer School students and faculty on the final day of class
Wrapping up an exciting two weeks of AI excellence in Alberta: 2019 DLRL Summer School

The 2019 CIFAR Deep Learning & Reinforcement Learning Summer School has concluded. Hosted by Amii and CIFAR from July 24 to August 2, 2019, this amazing and inspiring two weeks brought together the world’s brightest graduate students, post-docs and professionals to cover the foundational research, new developments and real-world applications of deep learning and reinforcement learning.

Highlights of the event include:

  • Over 1200 applicants from 75 countries
  • 300 attendees from 36 countries
  • 113 women attendees
  • 128 participants from outside of Canada (including 28 from developing nations)
  • Over 25 speakers
  • More than 90 hours of educational sessions and social events
  • 40 participating organizations at the Career Fair
  • Over $300,000 in corporate sponsorship

Prior to DLRL Summer School, the inaugural Summer Institute on AI and Society was held from July 21 to 24. Co-convened by CIFAR, the AI PULSE program at UCLA School of Law, and Amii, Summer Institute brought together 40 interdisciplinary experts for engaging conversations and productive workshops on the impacts and effects of AI in society.

Check out some highlights from the event using the hashtag #DLRLSS or via Amii’s Twitter moments of Week One and Week Two!

This story was featured in the AICan Bulletin. Subscribe to the bi-monthly email publication to keep up to date on AI in Canada.  


Conclusion de deux semaines d’excellence en IA en Alberta : École d’été sur l’apprentissage profond et l’apprentissage par renforcement 2019 du CIFAR

L’École d’été sur l’apprentissage profond et l’apprentissage par renforcement 2019 du CIFAR, organisée par l’Amii et le CIFAR, a attiré 300 des plus brillants étudiants diplômés et postdoctorants de 36 pays qui ont pu découvrir les recherches de pointe menées par les plus grands chercheurs du Canada sur l’apprentissage profond et l’apprentissage par renforcement. 

Le tout premier Institut d’été sur l’IA et la société s’est tenu du 21 au 24 juillet, juste avant l’École d’été DLRL. Organisé conjointement par le CIFAR, le programme AI PULSE de l’École de droit de l’Université de la Californie à Los Angeles et l’Amii, l’Institut d’été a réuni 40 experts interdisciplinaires qui ont pris part à des conversations stimulantes et à des ateliers productifs sur les impacts et les effets de l’IA sur la société.

Jetez un coup d’œil à certains des faits saillants de l’événement à l’aide du mot-clic #DLRLSS ou par l’entremise des moments Twitter de l’Amii, Première semaine et Deuxième semaine!

Cet article a été publié dans le Bulletin IACan. Abonnez-vous à la publication électronique bimestrielle pour rester au fait des plus récentes nouvelles en IA au Canada.

Amii is pleased to announce the launch of two massive open online courses (MOOCs) on Coursera! Take top-tier AI courses taught by leaders in the field. Best of all? You can try before you buy with a 7-day free trial. Learn more about each course below:


Machine Learning: Algorithms in the Real World Specialization

Machine Learning: Algorithms in the Real World specialization is offered by Amii, and taught by our Senior Scientific Advisor, Anna Koop. This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.

After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.


Reinforcement Learning Specialization

Reinforcement Learning Specialization is offered by the University of Alberta and Amii, and taught by Amii Fellows at UAlberta, Martha White and Adam White. This specialization explores the power of adaptive learning systems and artificial intelligence (AI). Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.

After completing all four courses, learners will understand the foundations of much of modern probabilistic AI and be prepared to take more advanced courses, or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of RL, as taught by world-renowned experts at the University of Alberta.

The tools learned in this specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems and more.

The tools learned in this specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems and more.