Alberta Machine Intelligence Institute

Research Expertise

Our team works at the foundations and forefront of scientific discovery.

20+ Years of Groundbreaking AI

Amii is one of Canada’s three National AI Institutes under the Pan-Canadian AI Strategy.

Since 2002, our researchers have developed and contributed to groundbreaking research that has advanced the world’s understanding and use of AI.

Landmark
Research

Chinook (1994)

Chinook becomes the first AI to solve checkers, setting a new standard in AI game-solving and inspiring future research into complex strategy and decision-making.

UCT Algorithm (2006)

Amii researcher Csaba Szepesvári co-invented UCT, an influential ML algorithm at the heart of many advancements in games research, including AlphaGo.

AAAI Computer Poker (2006-2015)

The University of Alberta team dominates the AAAI computer poker competitions, winning 23 of 39 events over the first decade.

Checkers (2007)

Checkers is officially solved by, marking another major milestone in game-solving AI.

Polaris (2008)

Polaris becomes one of the first AI programs to compete against professional poker players, advancing the capability of AI to handle hidden information and adapt strategies in real-time.

Atari Benchmark (2013)

The Atari benchmark provides a universal testbed for reinforcement learning, establishing a new standard for evaluating and advancing AI’s decision-making abilities.

Cepheus (2015)

Cepheus becomes the first AI to solve heads-up limit Texas Hold’em Poker, achieving an unbeatable strategy through advanced counterfactual regret minimization.

AlphaGo (2016)

AlphaGo makes history by defeating the world’s top Go player, demonstrating the ability of AI to reach into complex strategic games.

DeepStack (2017)

DeepStack is the first AI to beat professional players in no-limit Texas Hold’em Poker, advancing decision-making in environments with incomplete information.

Reinforcement Learning: An Introduction - Second Edition (2017)

Richard S. Sutton deepens his influence as a globally renowned leader in reinforcement learning with the release of the second edition of his textbook.

Research Areas

Reinforcement Learning (RL)

AI methods for decision-making and optimization through trial and error

Deep Learning (DL)

Advanced AI methods that use neural networks to uncover complex patterns in data

Machine Learning (ML)

Core techniques for data-driven modelling and predictions

Algorithms for problem-solving and approximate optimization in complex systems

Trustworthy AI

Ensuring reliability, fairness, and safety in AI applications

Explainable AI (XAI)

Making AI outputs and processes transparent and understandable

Natural Language Processing (NLP)

AI techniques for language understanding and generation, including Large Language Models

Computer Vision

AI methods for image and video analysis, including medical imaging

Robotics & Autonomous Systems

AI-driven systems for physical interaction, learning, and autonomous operation

Generative AI

AI models that produce new content, like text, images, and music, using GANs, diffusion models, and transformers

Frontier AI Models

Advanced approaches combining multimodal systems and cutting-edge reinforcement learning

AI for Health & Life Sciences

Applications in precision health, medical imaging, neuroscience, and rehabilitation

AI for Energy & Environment

Optimizing energy systems, agriculture, and environmental sustainability

AI for Social Sciences

Understanding human behaviour

AI for Natural Sciences

Applying AI to scientific discovery in fields like physics, chemistry, biology, earth sciences, etc.

AI for Human-AI Interaction

Enhancing human-machine collaboration, assistive technologies, and user experience

AI Ethics & Policy

Addressing ethical considerations, governance, fairness, and safety in AI deployment

AI in Gaming & Game Theory

AI applications in strategic decision-making, game design, and entertainment

Latest Research Papers

Academic Partners

University of Alberta

Since our inception, we have increased AI research capacity at the University of Alberta from four co-founding members to 37 Fellows (including 27 Canada CIFAR AI Chairs).

Affiliate Post-Secondaries

We have also welcomed nine Canada CIFAR AI Chairs at affiliate universities across Canada, including:

AI Pathways Partners

Amii is proud to support the AI Pathways Partnership by helping design career-focused education programs that equip Albertans with the AI skills needed to thrive in a fast-changing economy.

  • Athabasca University

  • Bow Valley College

  • Concordia University of Edmonton

  • NorQuest College

Latest Research Stories