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The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.
On August 6, Daniel Haight (President and co-founder of Darkhorse Analytics) presented “Edible AI - Building Effective and Accessible Models with Data Wrangling and Visualization" at the AI Seminar.
In this talk, Daniel discusses data wrangling and data visualization -- skills that make AI and ML models more consumable. He proposes a structured approach to data wrangling and looks at different data visualization techniques to ensure accurate, accessible insights.
Watch the full presentation below:
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Oct 29th 2024
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In the latest episode of Approximately Correct, reinforcement learning legend Rich Sutton (Amii Fellow, Canada CIFAR AI Chair & Chief Scientific Advisor) talks about what he thinks is holding AI research back.
Oct 23rd 2024
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On Sept. 13, Cory Efird — an MSc. student in the Computing Science Department at the University of Alberta — presented “Contrastive Decoding for Concepts in the Brain" at the AI Seminar.
Oct 23rd 2024
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Amii Fellow, Canada CIFAR AI Chair and co-lead at BLINC Lab Patrick Pilarski is leading the team to compete in the 2024 Cybathlon, an international competition advancing leading-edge assistive technologies for individuals with limb differences.
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