Scott Lilwall

On Dec. 9, Linglong Kong, Amii Fellow and Canada CIFAR AI Chair, presented " Conformalized Fairness via Quantile Regression" at the AI Seminar.

On Dec. 2, Scott Greig, from Willowglen Systems, presented "Why Do Machine Learning Projects Fail?" at the AI Seminar.

Learn how artificial intelligence is making flight training more efficient, which could help address the severe commercial pilot shortage stalling airlines.

On Nov. 25, Matthew Schlegel, a Ph. D. student at the Unversity of Alberta – presented "Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning" at the AI Seminar.

This month, we announce a partnership with New Harvest on cellular agriculture and look back at 2022.

On Sept. 9, Bo Dai — a researcher with Google's Brain Team — presented "Representation-based Reinforcement Learning" at the AI Seminar.

Amii researchers present their work in the fields of reinforcement learning, natural language processing, data optimization and more at the 2022 Conference on Neural Information Processing Systems.

On Sept. 2, Robert Paproski — CTO of Nanostics — presented "Lessons Learned Developing Predictive Models for Healthcare" at the AI Seminar.

On August 26, Puyuan Liu — an MSc student from the University of Alberta — presented "Non-Autoregressive Unsupervised Summarization with Length-Control Algorithms" at the AI Seminar.

On August 19, Alex Murphy — a Ph.D. student from the University of Birmingham — presented "Brain + NLP > NLP? Towards the incorporation of human brain data into Natural Language Processing" at the AI Seminar.

Amii welcomes Linglong Kong as one of the newest Canada CIFAR AI Chairs. Learn more about the impact his research is having on the world of AI.

On August 12, Sriram Ganapathi Subramanian, Postdoctoral Research Fellow at the Vector Institute, presented "Decentralized Mean Field Games" at the AI Seminar.

On Aug 5, Kim Solez – Professor of Pathology in the Faculty of Medicine and Dentistry at the University of Alberta – presented "How AI can improve human cooperation through suggesting followup action in modelled newscasts" at the AI Seminar.

This month, we look forward to TechAid, connecting the tech community and supporting some great local causes.

Understanding intelligence could be one of the greatest scientific achievements of all time, according to Amii Chief Scientific Advisor Rich Sutton. And he lays out the Alberta Plan as a roadmap to getting there.

On July 22nd, Bradley Hauer – a pHD candidate at the University of Alberta – presented "Lexical Semantics: Why Theory Matter" at the AI Seminar.

On July 22nd, Bradley Hauer – a pHD candidate at the University of Alberta – presented "Lexical Semantics: Why Theory Matter" at the AI Seminar.

Alberta's tech sector needs workers. And its tech students need jobs. Technology Alberta's Gail Powley talks about how the Alberta FIRST Jobs Program found great success connecting the two.

On July 15, Decebal Constantin Mocanu and Elena Mocanu, both with the University of Twente, presented "Sparse training in supervised, unsupervised, and deep reinforcement learning" at the AI Seminar.

Hear how Amii's ML Tech course had an immediate effect on Philip Hestvik's career — helping him boost his machine learning skills and unlock new opportunities

On June 17, 2022, Dustin Morrill, PhD student at the University of Alberta, presented "Hindsight Rational Learning for Sequential Decision-Making," at the AI Seminar.

Hear how Amii's ML Tech course had an immediate effect on Philip Hestvik's career — helping him boost his machine learning skills and unlock new opportunities

On June 10, 2022, Russ Greiner, Amii Fellow & Canada CIFAR AI Chair, presented "Learning Models that Predict Objective, Actionable Labels," at the AI Seminar.

Amii Fellow and Canada CIFAR AI Chair Nidhi Hegde and other experts discuss how to approach AI responsibly as it becomes a part of our everyday lives.