Scott Lilwall

On October 6, Ali Salman from Lawtiq.com presented “Empowering Investment Decisions: The AI Revolution at Lawtiq.com" at the AI Seminar.

Learn more about Mark Schmidt's work into optimization in machine learning, computer vision and other applications, and how the Fellowship will allow him to advance it.

On September 15, Russ Greiner —a professor at the University of Alberta — presented “Learning Models that Predict Objective, Actionable Labels" at the AI Seminar.

In a year of record wildfires across Canada, Amii researchers have developed an AI model that can help predict the risk of new ignitions and help fire crews respond quickly.

Hundreds of AI researchers, students, enthusiasts and industry leaders gathered this past weekend to celebrate TechAid.

On September 11, Anna Koop —Research Engineer at Google DeepMind — presented “Experiential Learning with Partition-Tree Weighting and MAML" at the AI Seminar.

On November 28, Dr. Hongyuan Mei —Research Assistant Professor at Toyota Technological Institute at Chicago — presented “Language Models as Lego Blocks of Reasoning" at the AI Seminar.

On Jan 12, Michael Przystupa —a PhD Candidate at the University of Alberta — presented “Advances in Data Driven Teleoperation: A synthesis of previous works & our own" at the AI Seminar.

On September 1, Stephen Montes Casper —a PhD Candidate at MIT — presented “Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback" at the AI Seminar.

On August 25, Bram Grooten —a PhD Candidate at Eindhoven University of Technology — presented “Efficient Focus for Autonomous Agents" at the AI Seminar.

On August 11, Mike Ogezi, MSc student at the University of Alberta, presented "Grounding Concepts to Vision with Visual Descriptions" at the AI Seminar.

On August 4, Faheem Khan, CEO of ARO Robotics, presented "AI and autonomy-based multitasking robots for Industry 4.0" at the AI Seminar.

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.

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.

Learn how Amii is helping build AI literacy in the plant-based sector, as well as more interesting news from Amii and the world of machine learning.

On May 19, Zichen Zhang —Phd student at the University of Alberta — presented “A Simple Decentralized Cross-Entropy Method" at the AI Seminar.

Learn how you can take your startup to the next level with AI, as well as more interesting news from Amii and the world of machine learning.

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.

The award is given out every year for "an outstanding masters-level thesis completed at a Canadian University in the field of Artificial Intelligence." Liu, who studies natural language processing (NLP), won for the paper "Non-Autoregressive Unsupervised Summarization with Length-Control Algorithms."

A new paper presented this week by Amii scientists at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) details how they could use machine learning to significantly increase the efficiency of Attabotic's robotic warehouses and the promise the technology holds to transform supply chain logistics.

On April 28, Jiamin He —MSc student at the University of Alberta — presented “Consistent Emphatic Temporal-Difference Learning" at the AI Seminar.

Russ Greiner — Amii Fellow, Canada CIFAR AI Chair and one of the founding members of Amii — is being recognized for his outstanding contribution to furthering computing science with a Lifetime Achievement Award in Computing Science from CS-Can | Info-Can.

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.

Check out the advancements being presented by Amii researchers at this year's 2023 Eleventh International Conference on Learning Representation.