Episode

STEMCast Episode 24 | Deep Learning with Prof. Aaron Courville: What More is There to Learn?

Podcast
STEMcast - McGill iGEM
Published
Aug 6, 2024
Duration seconds
2717
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not_requested
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https://rss.com/podcasts/stemcast/1600207
Audio
https://content.rss.com/episodes/14010/1600207/stemcast/2024_08_06_09_30_25_aaac9aca-b3a2-44bd-869d-a6164b6f9f71.mp3
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Summary

In this episode of STEMCast, we will be diving into the world of artificial intelligence with Professor Aaron Courville, with topics spanning from Game Theory to Explainable AI. Prof. Courville is from the Department of Computer Science and Operations Research at Université de Montréal. He is one of the founding members of Mila and a Canada CIFAIR AI Chair. Alongside Ian Goodfellow and Yoshua Bengio, he co-wrote the seminal textbook on deep learning: aptly named Deep Learning. His current research focuses on developing deep learning models and methods, with a particular interest in reinforcement learning, deep generative models, and multimodal ML in the domains of language and vision.