Videos

Name: Alberta Machine Intelligence Institute (Amii)
Address: 2nd Floor, 10065 Jasper Ave, Edmonton, Alberta, T5J 3B1, Canada

Feb 22, 2021
AI Seminar: Denise Campbell-Scherer on Using Anthrocomplexity for COVID-19 Impact Mitigation
Feb 19, 2021
AI Seminar: Csaba Szepesvári on Hardness of MDP Planning with Linear Function Approximation
Feb 18, 2021
AI Meetup: Agriculture & FinTech Solutions
Feb 5, 2021
AI Seminar: Karen Willsey on AI in Action - The WeStretch Story
Jan 22, 2021
AI Seminar: Marlos C. Machado on Autonomous Navigation of Stratospheric Balloons
Jan 21, 2021
AI Meetup: ISAIC & Explainable RL
Jan 8, 2021
AI Seminar: Mo Chen on Optimal Control and Machine Learning in Robotics
Jan 8, 2021
AI Seminar: Finlay McAlister on Alberta Strategy for Patient-Oriented Research in Health
Dec 17, 2020
AI Meetup: LRT & Space
Dec 14, 2020
AI Seminar: Marlos C. Machado on An Operator View of Policy Gradient Methods
Nov 23, 2020
AI Seminar: Masaf Dawood, Sindhu Adini & Chloe Tottem on Compute and Data at Your Fingertips
Nov 19, 2020
AI Meetup: Industrial GHG Emission Reduction & Content Marketing Generation
Oct 30, 2020
AI in Health: Learning Health Systems
Oct 27, 2020
Tea Time Talks: Juan Fernando Hernandez Garcia, The Cascade-Correlation Learning Architecture: The Forgotten Network
Oct 27, 2020
Tea Time Talks: Robin Chauhan, TalkRL and other Projects
Oct 27, 2020
Tea Time Talks: Manan Tomar, Multi-step Greedy Reinforcement Learning Algorithms
Oct 27, 2020
Tea Time Talks: Kirby Banman, Regression nonstationarities as dynamical systems
Oct 15, 2020
AI Meetup: How AI Agents Perceive and Represent Time & Opioid Risk Prediction
Oct 12, 2020
Tea Time Talks: Banafsheh Rafiee, Classical Conditioning Testbeds for State Construction
Oct 12, 2020
Tea Time Talks: Qingfeng Lan, Predictive Representation Learning for Language Modeling
Oct 5, 2020
Tea Time Talks: Alan Chan on Problems with Fair ML
Oct 5, 2020
Tea Time Talks: Khurram Javed on Learning Causal Models Online
Sep 30, 2020
Tea Time Talks: Raksha Kumaraswamy on Stochastic Optimism & Exploration
Sep 24, 2020
Tea Time Talks 2020: Dhawal Gupta, Optimizations for TD

Videos

Subject Matter

Content Type

Video

AI Seminar: Denise Campbell-Scherer on Using Anthrocomplexity for COVID-19 Impact Mitigation

AI Seminar: Csaba Szepesvári on Hardness of MDP Planning with Linear Function Approximation

AI Meetup: Agriculture & FinTech Solutions

AI Seminar: Karen Willsey on AI in Action - The WeStretch Story

AI Seminar: Marlos C. Machado on Autonomous Navigation of Stratospheric Balloons

AI Meetup: ISAIC & Explainable RL

AI Seminar: Mo Chen on Optimal Control and Machine Learning in Robotics

AI Seminar: Finlay McAlister on Alberta Strategy for Patient-Oriented Research in Health

AI Meetup: LRT & Space

AI Seminar: Marlos C. Machado on An Operator View of Policy Gradient Methods

AI Seminar: Masaf Dawood, Sindhu Adini & Chloe Tottem on Compute and Data at Your Fingertips

AI Meetup: Industrial GHG Emission Reduction & Content Marketing Generation

AI in Health: Learning Health Systems

Tea Time Talks: Juan Fernando Hernandez Garcia, The Cascade-Correlation Learning Architecture: The Forgotten Network

Tea Time Talks: Robin Chauhan, TalkRL and other Projects

Tea Time Talks: Manan Tomar, Multi-step Greedy Reinforcement Learning Algorithms

Tea Time Talks: Kirby Banman, Regression nonstationarities as dynamical systems

AI Meetup: How AI Agents Perceive and Represent Time & Opioid Risk Prediction

Tea Time Talks: Banafsheh Rafiee, Classical Conditioning Testbeds for State Construction

Tea Time Talks: Qingfeng Lan, Predictive Representation Learning for Language Modeling

Tea Time Talks: Alan Chan on Problems with Fair ML

Tea Time Talks: Khurram Javed on Learning Causal Models Online

Tea Time Talks: Raksha Kumaraswamy on Stochastic Optimism & Exploration

Tea Time Talks 2020: Dhawal Gupta, Optimizations for TD

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AI Seminar: Denise Campbell-Scherer on Using Anthrocomplexity for COVID-19 Impact Mitigation

AI Seminar: Csaba Szepesvári on Hardness of MDP Planning with Linear Function Approximation

AI Meetup: Agriculture & FinTech Solutions

AI Seminar: Karen Willsey on AI in Action - The WeStretch Story

AI Seminar: Marlos C. Machado on Autonomous Navigation of Stratospheric Balloons

AI Meetup: ISAIC & Explainable RL

AI Seminar: Mo Chen on Optimal Control and Machine Learning in Robotics

AI Seminar: Finlay McAlister on Alberta Strategy for Patient-Oriented Research in Health

AI Meetup: LRT & Space

AI Seminar: Marlos C. Machado on An Operator View of Policy Gradient Methods

AI Seminar: Masaf Dawood, Sindhu Adini & Chloe Tottem on Compute and Data at Your Fingertips

AI Meetup: Industrial GHG Emission Reduction & Content Marketing Generation

AI in Health: Learning Health Systems

Tea Time Talks: Juan Fernando Hernandez Garcia, The Cascade-Correlation Learning Architecture: The Forgotten Network

Tea Time Talks: Robin Chauhan, TalkRL and other Projects

Tea Time Talks: Manan Tomar, Multi-step Greedy Reinforcement Learning Algorithms

Tea Time Talks: Kirby Banman, Regression nonstationarities as dynamical systems

AI Meetup: How AI Agents Perceive and Represent Time & Opioid Risk Prediction

Tea Time Talks: Banafsheh Rafiee, Classical Conditioning Testbeds for State Construction

Tea Time Talks: Qingfeng Lan, Predictive Representation Learning for Language Modeling

Tea Time Talks: Alan Chan on Problems with Fair ML

Tea Time Talks: Khurram Javed on Learning Causal Models Online

Tea Time Talks: Raksha Kumaraswamy on Stochastic Optimism & Exploration

Tea Time Talks 2020: Dhawal Gupta, Optimizations for TD

Stay in the loop.

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