Ramatoulaye Balde, Danyl Satanovskyi

McGill AI Podcast

There are very few places in the world like Montreal and McGill which have such a concentration of talent in the field of AI/ML. MAIS primarily serves to build a community with a shared passion for the field, spreading knowledge and resources to help aid people trying to enter the AI ecosystem. Our podcast aims to promote the research and share the experiences of people who are making remarkable contributions to the development of AI across disciplines and to allow others to use that information to break into the field while being more aware of the challenges and opportunities. We hope to fost...

No dejes de visitar la web del podcast y apoyar a su creador: www.mcgillai.com

Autor

Ramatoulaye Balde, Danyl Satanovskyi

Categoría

Science

Web del podcast

www.mcgillai.com

Último episodio

25 de sep. de 2026

¿Dónde escuchar?

Podcasts en la app Replaio Radio Muy pronto

Los podcasts llegarán muy pronto a la app. Instálala ahora y sé el primero en descubrir una forma totalmente nueva de vivir los podcasts

Descárgala en Google Play Instálala gratis Android casi 10 M de descargas · valoración de 4,8 iOS muy pronto

Episodios

Emma Frejinger at ALL IN: Machine Learning and Optimization in Transportation, Direction of AI in Education and Research 25.09.2026

Send us Fan Mail VIDEO ACCESS: To watch the video version, please check out our YouTube!  https://www.youtube.com/@mcgillaipodcast3235 MAIS is thrilled to have been given the opportunity to record at ALL IN, Canada's largest tech and AI event. Today we share a short conversation with Emma Frejinger: Professor at Université de Montréal, optimization researcher, CN Chair in Railway Operations,...

Nicolas Chapados: Education, Vibe Coding, Entrepreneurship, Jobs, AI Race, Regulation 11.02.2026

Send a text

Episode 12: Yves Hilpisch 02.02.2024

Send us Fan Mail Yves is the founder and CEO of The Python Quants and has written several books, including Python for Finance. In recent years, AI has been at the forefront of computational finance and algorithmic trading. As the accessibility of AI increases, building our own financial models has become easier with programming languages like Python and the support of various available libraries....

Episode 11: Ignacio Confone 31.12.2023

Send us Fan Mail Ignacio Cofone is a professor at McGill’s Faculty of Law and is the Canada Research Chair in AI Law and Data Governance. With the rapid evolution of artificial intelligence in recent years, there are also many concerns at the forefront. This episode tackles current topics like the effects of bias in AI, the intersection between AI and privacy law, as well as AI regulations. We wil...

Episode 9: Doina Precup 29.08.2023

Send us Fan Mail he podcast team is excited to announce they have released the 5th episode of the McGill AI Podcast, featuring Doina Precup 🎉🎉 Embark on an enlightening journey into the world of reinforcement learning with Prof. Doina Precup in this captivating podcast episode. As a distinguished professor at McGill University and the Head of DeepMind Montreal, Prof. Precup brings a wealth of ex...

Episode 8: Generative AI Panel with Chloe Ryan, Katherine Beaulieu, Dr. Kusil Oumedjbeur 11.06.2023

Send us Fan Mail The podcast team has released the 4th episode of the McGill AI Podcast featuring Chlöe Ryan, Katherine Beaulieu and Dr. Kussil Oumedjbeur 🥳 The advent of powerful generative AI models - particularly in the art space - has enabled limitless creative opportunities. In this episode, we discuss both the usage benefits and the importance of regulating generative AI in this space from...

Episode 5: Dan Cervone 17.10.2022

Send us Fan Mail The McGill AI Podcast team is thrilled to finally release this season's first episode on Machine Learning in Sports with Dr. Dan Cervone!🏅🏀⚾⚽ Dan is the Principal Data Scientist at Zelus Analytics, where they’re building the world's leading sports analytics platform. Prior to this, Dan spent three seasons with the Los Angeles Dodgers, most recently as Director of Qua...

Episode 4: Guillaume Lajoie 08.02.2022

Send us Fan Mail Professor Lajoie is an applied mathematician interested in the interactions and commonalities of biological and artificial neural computations. His research group works at the intersection of AI and Neuroscience, developing tools to better understand neural networks as well as algorithms for brain-machine interfaces for scientific and clinical use. Furthermore, he is an assistant...

Episode 3: Jackie Cheung 30.01.2022

Send us Fan Mail Professor Cheung is an associate professor at McGill, Canada CIFAR AI Chair, researching with Mila, the Reasoning and Learning Lab, Center for Research on Brain, Language and Music and the Center for Intelligent Machines. “Because of the recent, relative success of large, pre-trained language models, I think we tend to ignore the spectacular failures they have in certain cases. Ge...

Episode 2: Blake Richards 07.01.2022

Send us Fan Mail HECTIC FIRST WEEK OF SCHOOL? REFRESH YOURSELF WITH MCGILL AI PODCAST’S EPISODE 2 WITH BLAKE RICHARDS, NOW AVAILABLE ON ALL PLATFORMS! 🥶🥶 Professor Blake Richards is a prominent researcher whose work bridges the gap between neuroscience and artificial intelligence. He is an Associate Professor at McGill University, holding appointments in both the School of Computer Science and t...

Episode 1: David Rolnick 22.10.2021

Send us Fan Mail Professor David Rolnick! Professor Rolnick is an Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University and at Mila. He also serves as the co-founder and chair of Climate Change AI and the scientific co-director of Sustainability in the Digital Age. “Certainly, this kind of thinking is not being taught to people sufficiently well. It’s...

Escucha el podcast McGill AI Podcast en Replaio

Radio y podcasts en una sola app - gratis y sin registro. Instálala hoy y no te pierdas el estreno

Descárgala en Google Play

Replaio no es editor de podcasts; los nombres de los programas, las portadas y el audio pertenecen a sus autores y se distribuyen a través de canales RSS públicos