Technical News
Whether it’s pushing boundaries in science, helping companies strategically adopt AI or building individuals’ AI capabilities, there’s always something happening at Amii.

Whether it’s pushing boundaries in science, helping companies strategically adopt AI or building individuals’ AI capabilities, there’s always something happening at Amii.
Sep 21st 2023
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On August 18, Kristen Yu —a PhD Candidate at the University of Alberta — presented “Adventures of AI Directors Early in the Development of Nightingale" at the AI Seminar.
Aug 30th 2023
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On July 28th, Shahin Atakishiyev — a PhD student at the University of Alberta — presented “Explaining Autonomous Driving Actions with Visual Question Answering" at the AI Seminar.
Aug 23rd 2023
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On June 23rd, Maliha Sultana—a recent Master's graduate at the University of Alberta — presented “An Exploration of Dialog Act Classification in Open-domain Conversational Agents and the Applicability of Text Data Augmentation" at the AI Seminar.
Jun 28th 2023
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On May 19, Zichen Zhang —Phd student at the University of Alberta — presented “A Simple Decentralized Cross-Entropy Method" at the AI Seminar.
Jun 27th 2023
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Tea Time Talks are back for another year. This summer lecture series, presented by Amii and the RLAI Lab at the University of Alberta, give researchers the chance to discuss early-stage ideas and prospective research. Join us for another series of informal 20-minute talks where AI leaders discuss the future of machine learning research.
Jun 27th 2023
News
Tea Time Talks are back for another year. This summer lecture series, presented by Amii and the RLAI Lab at the University of Alberta, give researchers the chance to discuss early-stage ideas and prospective research. Join us for another series of informal 20-minute talks where AI leaders discuss the future of machine learning research.
Jun 14th 2023
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On May 12, Brett Daley —Phd student at the University of Alberta — presented “Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning" at the AI Seminar.
May 31st 2023
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On April 28, Jiamin He —MSc student at the University of Alberta — presented “Consistent Emphatic Temporal-Difference Learning" at the AI Seminar.
May 3rd 2023
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On April 14, Sunil Vedula—founder of Nanoprecise Sci Corp — presented “IoT + AI enabled predictive maintenance & operational excellence for asset intensive industries ’" at the AI Seminar.
Apr 26th 2023
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On March 31, Nathan Sturtevant —Amii Fellow, Canada CIFAR AI Chair & Director — & Arta Seify — AI developer on Nightingale — presented “Living in Procedural Worlds: Creature Movement and Spawning in ‘Nightingale’" at the AI Seminar.
Apr 20th 2023
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On March 24, Qingfeng Lan— PhD student at the University of Alberta — presented “Memory-efficient Reinforcement Learning with Knowledge Consolidation " at the AI Seminar.
Apr 5th 2023
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On March 10th, Khurram Javed— PhD student at the University of Alberta — presented “The Big World Hypothesis and its Ramifications on Reinforcement Learning" at the AI Seminar.
Apr 5th 2023
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On March 17, Yuqiao Wen— PhD student at the University of Alberta — presented “f-Divergence Minimization for Sequential Knowledge Distillation" at the AI Seminar.
Mar 29th 2023
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On March 3rd, Yan Wang— Master's student at the University of Alberta — presented “Effective Real-time Reinforcement Learning for Vision-Based Robotic Tasks" at the AI Seminar.
Mar 22nd 2023
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On Feb. 17, Ehsan Imani— PhD student at the University of Alberta — presented “Representation Alignment in Neural Networks" at the AI Seminar.
Mar 13th 2023
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This AI Meetup discussed using federated learning in healthcare projects and beyond, feat. Amii Fellows Ross Mitchell & Randy Goebel.
Mar 8th 2023
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On Feb. 3, Wayne Malkin— chief designer and architect for Drivewyze — presented “Reaching Scale: Challenges, Solutions, and Opportunities" at the AI Seminar.
Jan 25th 2023
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On Dec. 9, Linglong Kong, Amii Fellow and Canada CIFAR AI Chair, presented " Conformalized Fairness via Quantile Regression" at the AI Seminar.
Jan 18th 2023
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On Dec. 2, Scott Greig, from Willowglen Systems, presented "Why Do Machine Learning Projects Fail?" at the AI Seminar.
Jan 12th 2023
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Learn how artificial intelligence is making flight training more efficient, which could help address the severe commercial pilot shortage stalling airlines.
Jan 11th 2023
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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.
Dec 1st 2022
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The November 2022 edition of AI Meetup focused on the challenges of building AI-based models for healthcare, feat. Neil Borle (ATB Financial).
Nov 28th 2022
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On Sept. 9, Bo Dai — a researcher with Google's Brain Team — presented "Representation-based Reinforcement Learning" at the AI Seminar.
Nov 16th 2022
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On Sept. 2, Robert Paproski — CTO of Nanostics — presented "Lessons Learned Developing Predictive Models for Healthcare" at the AI Seminar.
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