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McGill AI Podcast

McGill AI Podcast

Alexandre Lamarche, Catherine Fontaine, Ramatoulaye Balde, Antoine Paradis

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 foster an accessible, holistic resource to understand how AI is evolving and continuously changing the world around us.

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Top 10 McGill AI Podcast Episodes

Goodpods has curated a list of the 10 best McGill AI Podcast episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to McGill AI Podcast for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite McGill AI Podcast episode by adding your comments to the episode page.

McGill AI Podcast - Guillaume Lajoie: Interfacing the Brain
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02/04/22 • 63 min

Guillaume is an assistant professor at Université de Montréal, Canada CIFAR AI Chair, Core Academic Member at Mila, is a research scholar at FRQS (Fonds de recherche du Québec), and has research center affiliations with UNIQUE (Unifying Neuroscience and Artificial Intelligence - Québec), CIRCA (Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage), and CRM (Centre de Recherches Mathématiques). He joins us to talk about how AI influences neuroscience, the mathematics behind AI, brain-computer interfaces, and thoughts on the future of AI regulation.

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McGill AI Podcast - Jackie CK Cheung: AI & Language
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01/30/22 • 53 min

Jackie Cheung is an associate professor at McGill, Canada CIFAR AI Chair, researching with Mila, the Reasoning and Learning Lab, Centre for Research on Brain, Language and Music and the Centre for Intelligent Machines. He sits down with us to talk about the history and change in the field of NLP, common sense reasoning and summarization, AI deployment in practice, and advice for students looking to get into research.
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McGill AI Podcast - Blake Richards: Parallels Between the Brain & AI
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01/07/22 • 43 min

Professor Blake Richards is a leading researcher at the intersection of neuroscience and AI. He is an assistant professor at McGill, a Canada CIFAR AI Chair, and a core faculty member at Mila. His research explores the general principles of learning and memory in neural networks and tries to understand how real and artificial brains can optimise behaviour.

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McGill AI Podcast - David Rolnick: AI for Climate Change
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10/29/21 • 62 min

Professor David Rolnick is an assistant professor at McGill, Canada CIFAR AI Chair, Mila researcher and a member of MIT Technology Review’s 35 Innovators Under 35. He joins the podcast to talk about how machine learning can be applied to tackling climate change, deep learning theory, AI in the public sector, ethics and advice for students.

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McGill AI Podcast - Introduction

Introduction

McGill AI Podcast

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08/12/21 • 12 min

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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 expertise to our discussion. Join us as we delve into the intricacies of hierarchical reinforcement learning, navigating the complexities of decision-making processes. Explore the realm of continual reinforcement learning, where adaptability harmonizes with efficiency, and gain invaluable insights into new possibilities and challenges posed by large models. Whether you're an AI aficionado or newcomer, this episode promises an illuminating expedition into the forefront of reinforcement learning, guided by a true trailblazer in the field.

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Artem Kirsanov is a graduate student in neuroscience at New York University Center for Neural Science and a YouTuber with a following of over 100k subscribers. In this episode, we talk about modelling the human brain with artificial intelligence, how AI is being used to enhance neuroscience, and what a future alongside AI can look like for scientists.

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The podcast team is excited to announce the McGill Artificial Intelligence Society’s 2nd podcast episode of the 2023-2024 school year featuring Ignacio Cofone.
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 will examine how the transition between the current privacy regulation and the new Bill C-27 addresses these concerns and also its potential blind spots, while covering the challenges and uncertainties around Canada’s first comprehensive attempt at AI regulation.
The McGill AI podcast is available on Apple Podcast and Spotify.

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The podcast team is excited to announce the McGill Artificial Intelligence Society’s 3rd podcast episode of the 2023-2024 school year featuring Yves Hilpisch.
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 in 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.
In this episode, we examine AI’s rise in the world of finance, exploring its applications across various facets of financial analysis. We discuss the possibility of AI models predicting market movement and what this means in terms of the Efficient Market Hypothesis. Yves also talks about the implications of AI for smaller companies as they try to compete with the bigger players in the industry, as well as impacts of the growing accessibility of individual finance and trading.
The McGill AI podcast is available on Apple Podcast and Spotify.

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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 a diverse stakeholder perspective. Chloë Ryan, CEO and founder of Acrylic Robotics - a fast-growing pre-seed art-tech startup, Katherine Beaulieu, a BCL/JD Candidate at the McGill Faculty of Law & member of Tech Law, and Dr. Kussil Oumedjbeur, a current MSc candidate in experimental surgery at McGill and popular digital artist, join us in a panel to discuss the ethical and regulatory challenges involved in the usage of generative AI in the art space.

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FAQ

How many episodes does McGill AI Podcast have?

McGill AI Podcast currently has 13 episodes available.

What topics does McGill AI Podcast cover?

The podcast is about Computer Science, Research, Podcasts, Science, Artificial Intelligence, Machine Learning and Ethics.

What is the most popular episode on McGill AI Podcast?

The episode title 'Yoshua Bengio: Towards Achieving Human-Level AI' is the most popular.

What is the average episode length on McGill AI Podcast?

The average episode length on McGill AI Podcast is 55 minutes.

How often are episodes of McGill AI Podcast released?

Episodes of McGill AI Podcast are typically released every 70 days, 19 hours.

When was the first episode of McGill AI Podcast?

The first episode of McGill AI Podcast was released on Aug 12, 2021.

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