Want to hear the real story about AI?
Approximately Correct, the AI podcast by Amii, cuts through the noise. We bring you lively, in-depth conversations featuring world-leading researchers and industry experts working at the forefront of machine intelligence.
Each episode, we explore the science behind artificial intelligence, explain the latest breakthroughs, and learn the real-world challenges that AI is addressing.
Go beyond the buzzwords and hear the stories behind the science, meet the people advancing technology, and learn about AI’s potential to transform our world from the people on the ground.
Or, grab our RSS feed.
Meet the Hosts
Alona Fyshe
Alona is a celebrated AI researcher who combined her interest in machine learning and neuroscience to study the way the human brain processes language. She is an Assistant Professor at the University of Alberta, a Fellow at Amii, and a Canada CIFAR AI Chair.
Scott Lilwall
Scott is Amii's scientific communicator, with experience in science journalism and documentary. His work has appeared on CBC Radio, the Globe and Mail and other outlets.
Our Latest Episode
How do we know where we are, and where we are going?
While we use our eyes to take in the information, it is our brains that are doing the heavy computing as we navigate the world. Now, new research using machine learning models is perhaps giving us a glimpse into what is going on inside our minds, and how the cells needed to navigate the world might form.
On this episode of Approximately Correct, we are joined by two Amii Fellows and Canada CIFAR AI Chairs — Marlos C. Machado and Quinn Lee — who combined their expertise in machine learning and neuroscience to better understand the mysteries of navigation.
Previous Episodes
Browse our complete archive:
