Approximately Correct: An AI Podcast from Amii

Amii - Alberta Machine Intelligence Institute
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Approximately Correct: An AI Podcast from Amii

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.

  1. OCT 29

    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

    38 min

  2. SEP 27

    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.

    37 min

  3. SEP 10

    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/

    12 min

  4. AUG 27

    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.

    39 min

  5. JUL 23

    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

    31 min

  6. JUL 9 · BONUS

    | Sidebar | The Massive Impact of Medical AI with Ross Mitchell

    Medicine is built on data. Clinical studies, patient charts, test results, X-rays - data helps diagnose us when we’re unhealthy and understand how to treat us. Amii Fellow and Canada CIFAR AI Chair Ross Mitchell explores how machine learning can use this data, pulling out insights to help medical professionals work better and provide better patient outcomes. In this Sidebar episode, we present a conversation between Mitchell and machine learning scientist Jubair Sheik about AI's massive potential in medicine and the increasing accuracy of medical AI models. Production Credits: Lynda Vang, - Producer, Chris Onciul - Video Production,  Music Credits: Main Theme - Brooklyn Bridge by Lunareh

    15 min

  7. JUN 25

    Reinforcement Learning at 65,000 Feet with Marlos C. Machado | Approximately Correct Podcast

    This week’s episode of Approximately Correct looks at how the work of Marlos C. Machado is taking reinforcement learning to new heights. Marlos sits down with hosts Alona Fyshe and Scott Lilwall to share the insights from his work using AI to control balloons in Earth's stratosphere, and what it teaches us about how reinforcement learning works in the real world. Production Credits: Lynda Vang - Producer, Chris Onciul - Video Production Music Credits: Main Theme - Brooklyn Bridge by Lunareh

    41 min

  8. JUN 12 · BONUS

    | Sidebar | When Ancient Philosophy meets Modern AI with  Geoffrey Rockwell

    Dialogues have been a way of exploring complex philosophical and moral questions since the time of Plato. And now, they might offer new ways of exploring intelligence in the age of powerful large language models. Amii Fellow and Canada CIFAR AI Chair Geoffrey Rockwell joins hosts Alona Fyshe and Scott Lilwall to talk about where philosophy and artificial intelligence intersect, and how learning more about non-human intelligence can teach us more about ourselves. Production Credits: Lynda Vang - Producer, Chris Onciul - Video Production, Music Credits: Main Theme - Brooklyn Bridge by Lunareh

    14 min
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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.

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