News
Amii Fellows have made many incredible contributions to the Games & Game Theory research area; the area focuses on understanding and optimizing strategic interactions between individuals within an environment. It includes human interactions as well as game-playing AI.
Popular Science, the quarterly magazine that has been a leading source of science and technology news since its inception in 1872, recently shone a light on game-playing AI in their article How computers beat us at our own games. Published in the Summer 2020 issue, the article takes a look at some major contributions to the field by researchers at Amii and the University of Alberta:
DeepStack on the cover of Science Magazine May 2017, courtesy sciencemag.org
In fact, Amii and the University of Alberta have had a hand in each of the advancements highlighted on the list. UAlberta alumnus Murray Campbell was part of the team at IBM that developed Deep Blue, and Amii researchers are responsible for advancements that have been foundational to other breakthroughs in games:
You can read the Popular Science article on their website or pick up a paper copy of their Summer 2020 issue: Play On.
Learn how Amii advances world-leading artificial intelligence and machine learning research, leading to world-changing machine intelligence for good and for all: visit our Research page.
Jun 6th 2023
News
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."
Jun 1st 2023
News
Upper Bound, Amii’s signature event celebrating the best in artificial intelligence, has released the final talent bursary numbers awarded for the annual conference.
May 31st 2023
News
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.
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