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Aug 21st 2024
News
Amii researchers investigate an AI mystery in new Nature paper: Loss of Plasticity
In a paper published in Nature, a team of Amii researchers have revealed more about a mysterious problem in machine learning — a discovery that might be a major step towards building advanced AI that can function effectively in the real world.
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Sep 25th 2023
News
John Carmack and Rich Sutton partner to accelerate development of Artificial General Intelligence
Amii's Chief Scientific Advisor announces partnership with John Carmack to bring greater focus and urgency to the creation of artificial general intelligence (AGI).
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Apr 17th 2023
News
Preparing for the AI Revolution: Insights from Richard Sutton
Richard Sutton presents on preparing for the AI Revolution, and how we can keep our eyes on the prize. Check out his AI Week 2022 keynote.
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Jan 31st 2023
Research Post
Toward Efficient Gradient-Based Value Estimation
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Nov 23rd 2022
News
16 papers co-authored by Amii researchers featured at NeurIPS 2022
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.
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Oct 11th 2022
News
The Alberta Plan is a roadmap to a ‘grand scientific prize’: understanding intelligence
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.
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Jun 7th 2022
News
Media Release: AI Week launches new era of AI impact in Alberta
AI Week brought together more than 2,100 AI enthusiasts and professionals to connect across nearly 60 unique events, including business-focused panels and discussions, academic sessions, networking socials and celebrations.
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May 9th 2022
News
Recommended Reading: Why Edmonton is a hub of AI innovation
Learn how Edmonton is gaining a reputation as a hub of innovation in artificial intelligence and machine learning
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Apr 14th 2022
News
AI Week brings together the world AI community
Amii has announced speakers for AI Week, May 24-27, including keynotes from Richard S. Sutton, Alona Fyshe, Martha White and Dornoosh Zoonobi & Jacob Jaremko.
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Apr 11th 2022
Research Post
From eye-blinks to state construction: Diagnostic benchmarks for online representation learning
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Feb 17th 2022
News
Media Release: Amii invites the world to AI Week with $100,000 in travel bursaries
In anticipation of AI Week, May 24 - 27, 2022, the Alberta Machine Intelligence Institute (Amii) announced the first $100,000 in travel bursaries for emerging researchers and applied artificial intelligence (AI) professionals globally. The Global Talent Bursary program will facilitate upwards of 500 guests to attend AI Week in Edmonton, Alberta, Canada.
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Feb 3rd 2022
News
Media Release: New research chair uses artificial intelligence to accelerate precision health care in Alberta
Ross Mitchell returns to Alberta as the inaugural Alberta Health Services (AHS) Chair in Artificial Intelligence in Health at the University of Alberta, and a Fellow of the Alberta Machine Intelligence Institute
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Jan 20th 2022
News
Recommended Reading: Canada bet big on a national AI strategy
Recommended reading: "Canada bet big on a national AI Strategy. Is it paying off?" asks Murad Hemmadi from The Logic
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Dec 1st 2021
News
Media Release: Amii presents AI Week in celebration of 20 years of Alberta’s AI leadership
Media Release: The Alberta Machine Intelligence Institute (Amii) has announced plans for the inaugural AI Week presented by Amii, a four-day celebration of Alberta’s 20-year history of excellence in artificial intelligence (AI) and machine learning.
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Nov 30th 2021
News
Bandit tasks, deep reinforcement learning and controlling disinformation: Amii researchers at NeurIPS 2021
Amii is proud to share the work of our researchers that will be presented at the thirty-fifth annual Neural Information Processing Systems (NeurIPS) conference, held online from December 6 - 14, 2021.
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Oct 21st 2021
Research Post
Average-Reward Learning and Planning with Options
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Aug 24th 2021
News
Recapping ICAPS 2021
Amii researchers had their work featured recently at the International Conference on Automated Planning and Scheduling (ICAPS), the premier forum for exchanging news and research results on theory and applications of intelligent and automated planning and scheduling technology.
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Jul 20th 2021
News
The Tea Time Talks 2021: Week Three
Watch this week's videos featuring Michael Przystupa and Alex Lewandowski, as well as a panel moderated by Michael Bowling feat. Rich Sutton, Martha White, Patrick Pilarski & Rupam Mahmood!
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Jul 13th 2021
News
Amii at ICML 2021: Accepted papers & workshops
The work of Amii researchers is being featured at the 38th annual International Conference on Machine Learning (ICML), running online this year from July 18 to 24.
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Jun 23rd 2021
News
The Tea Time Talks 2021: Week One
Watch this week's videos featuring Richard Sutton, Rupam Mahmood and an RLAI panel! The Tea Time Talks are 20-minute talks on early-stage ideas, prospective research and technical topics.
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May 27th 2021
Research Post
Average-Reward Off-Policy Policy Evaluation with Function Approximation
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May 7th 2021
Research Post
Towards Reinforcement Learning in the Continuing Setting
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Apr 30th 2021
News
Amii Presentations & Papers at ICLR 2021
The ninth annual ICLR is taking place May 3-7 online this year! We are proud to share that the work of our researchers are being included in the proceedings.
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Jan 29th 2021
News
Michael Bowling named a Fellow of the Association for the Advancement of Artificial Intelligence
Michael Bowling, Fellow and Canada CIFAR AI Chair at Amii, was elected a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI). Also a Professor at the University of Alberta, Bowling is recognized for his contributions and leadership in the field of AI, including his work producing theoretical advancements in the world of imperfect (or hidden) information games and for playing an instrumental role in establishing the field of deep reinforcement learning.
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