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Approximately Correct: An AI Podcast from Amii

Approximately Correct: An AI Podcast from Amii

Amii - Alberta Machine Intelligence Institute

Approximately Correct: An AI Podcast from Amii brings you stories from the leading edge of artificial research. Go beyond the buzzwords to learn about the future of AI and machine learning from world-class researchers, leaders and thinkers. Hear the stories behind the science, meet the people advancing the technology and learn about AI's potential to transform our world. Whether you're an AI enthusiast, a seasoned tech expert, or simply curious about the future, Approximately Correct is your essential guide to the ever-changing world of artificial intelligence.

18 - Rich Sutton’s new path for AI
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  • 18 - Rich Sutton’s new path for AI

    In this episode, reinforcement learning legend Rich Sutton argues the focus on non-continual learning over the past 40 years is now holding AI back. Listen to one of the leading minds in machine learning explain what needs to change. 

    Approximately Correct: An AI Podcast from Amii is hosted by Alona Fyshe and Scott Lilwall, produced by Lynda Vang, with video production by Chris Onciul

    Tue, 29 Oct 2024 - 37min
  • 17 - Game Changer: Revolutionizing Video Game AI with Artificial Agency’s Andrew Butcher | Approximately Correct Podcast

    Artificial intelligence has been a part of video games for decades. But new advances in machine learning and generative AI could radically change how we make — and play — games. In this episode, Andrew Butcher, co-founder of Artificial Agency, talks about how the company is creating technology to make games more playful, intelligent, and fun. Tune in to discover how AI is changing game development and what that means for developers and players alike.


    Fri, 27 Sep 2024 - 37min
  • 16 - What it's like to publish in Nature with Shibhansh Dohare & Fernando Hernandez-Garcia

    A team of Amii researchers recently  published a paper in the prestigious scientific journal Nature investigating a mysterious problem in deep learning that can hinder long-term continual learning. In this Sidebar episode, we talk to two of the co-authors about the problem of Loss of Plasticity, what their findings mean for advanced AI, and the journey from idea to Nature.

    Read more about Loss of Plasticity: https://www.amii.ca/latest-from-amii/amii-researchers-investigate-ai-mystery-new-nature-paper-loss-plasticity/

    Tue, 10 Sep 2024 - 12min
  • 15 - AI-Powered Water Systems with Martha White

    Reinforcement learning is being used to make water treatment more efficient. On this week’s episode, we’re joined by Amii Fellow and Canada CIFAR AI Chair Martha White to talk about co-founding RL Core Technologies, which is exploring how RL can be used in to increase efficiency in water treatment plants and other industrial control systems. Find out more about how AI is being used in the real world and its potential large-scale impact.

    Tue, 27 Aug 2024 - 39min
  • 14 - Humans Make AI Better with Matt Taylor

    How do we get the best results when AI and human beings work together? In this episode of Approximately Correct, we’re looking into Human-In-The-Loop (HITL) AI with Matt Taylor.

    The Amii Fellow and Canada CIFAR AI Chair talks about the importance of human input in AI decision making, the need to recognize the strengths and weaknesses of both natural and artificial intelligence, and how he thinks HITL will be vital if people are to trust AI in their lives.


    Production Credits:Lynda Vang, - Producer, Chris Onciul - Video Production, 

    Music Credits:Main Theme - Brooklyn Bridge by Lunareh

    Tue, 23 Jul 2024 - 31min
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