Claim OwnershipApproximately Correct: An AI Podcast from Amii
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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.
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.
38 Episodes
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This AI doesn't replace jobs; it collaborates with human experts to get the job done.On this episode of Approximately Correct, we talk with Revan McQueen on the future of industrial control and AI's role in making it safer and better
In the latest episode of Approximately Correct, we’re taking the time to celebrate with Amii Fellow, Chief Scientific Advisor, and Canada CIFAR AI Chair Rich Sutton, newly-minted winner of the A.M. Turing Award, a prize that is often referred to as the “Nobel Prize of Computer Science.”
Discover the secret to training AI with less data! On this episode of Approximately Correct, we talk with Amii Fellow and Canada CIFAR AI Chair Lili Mou about the challenges of training large language models and how his research on Flora addresses memory footprint concerns.
AI-powered prosthetics are changing lives, but it takes more than just technology. In this episode, Amii Fellow and Canada CIFAR AI Chair is here to talk about the work going on in his lab designing AI controls for bionic limbs and explains the unique partnership between researchers and users that's creating AI learning that is made with humans in mind.
Approximately Correct: An AI Podcast from Amii is hosted by Alona Fyshe and Scott Lilwall. It is produced by Lynda Vang, with video production by Chris Onciul.
How can we teach robots to safely navigate our unpredictable world?On this special live episode of Approximately Correct recorded at Upper Bound 2025, we talk with Mo Chen about combining classical and modern AI to create smarter, safer, and more robust robots.
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