Math & Physics Podcast

In this engaging discussion, Jose Arnal, a Senior PhD student at the University of Toronto Institute for Aerospace Studies, shares insights into space weather and the complexities of solar dynamics. He unpacks the fascinating effects of coronal mass ejections on Earth and their connection to the aurora borealis. Jose also dives into advanced data assimilation techniques used to improve space weather forecasting, exploring the integration of machine learning with traditional methods. Prepare for a journey through the magnetic dances of the cosmos!

Today I talk with Dr. Laurence Perrault-Levasseur about cosmology and a bit of machine learning. Enjoy the conversation!

Dr. Yoshua Bengio, a pioneer in artificial intelligence and Turing Award recipient, reflects on his remarkable journey in AI since 1985. He discusses the evolution from expert systems to deep learning, emphasizing the integration of various data types for better machine understanding. The conversation delves into the importance of ethical AI development, reflecting on parallels with climate change perceptions. Bengio also introduces the innovative idea of AIs debating their outputs and highlights the necessity for robust governance to balance AI risks and benefits.

In this engaging conversation, Alexandre Adam, a PhD student in physics at the University of Montreal, dives into his compelling research on diffusion models. He sheds light on the challenges of navigating high-dimensional spaces in machine learning and optimizing neural networks using automatic differentiation. The dialogue explores data augmentation techniques for image analysis and examines how diffusion models aid in understanding galaxy images and their gravitational interactions. Alex's insights bridge complex mathematical concepts with real-world applications in astrophysics.

Max Sklar, a computer science expert and host of 'The Local Maximum,' shares his journey from childhood programming enthusiasm to a career in AI. He discusses the evolution of natural language processing and the significance of interpretability in machine learning. The conversation delves into AI ethics, highlighting societal implications and the importance of transparency. Sklar also emphasizes the role of personal projects in skill development and explores how generational theory connects technology with cultural shifts.

*** In the intro I say graph flow networks instead of generative flow networks by accident *** Today's guest is Dr. Emmanuel Bengio. Enjoy this conversation about his research, including the topic of generative flow networks (GFlowNets). Books Referenced: Thinking Fast and Slow by Daniel Kahneman The Fourth Turning: What the Cycles of History Tell Us About America's Next Rendezvous with Destiny by William Strauss and Neil Howe The Culture series by Iain Banks

Today I talk with Dr. Yashar Hezaveh about consciousness, artificial intelligence, perception and gravitational lensing.   --Brilliant-- To all our listeners out there, we are so happy to say that you can head over to https://brilliant.org/mpp , and the first 200 of you to sign up will get 20% off your premium membership.   -- Social --  Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: math.physics.podcast@gmail.com Twitter: @MathPhysPod

Today we talk again with Dr. Michael Miller from the University of Toronto, who is a philospher within the field of physics. Enjoy the conversation! *** The weird audio noise in the background ends at 10:40***   --Brilliant-- To all our listeners out there, we are so happy to say that you can head over to https://brilliant.org/mpp , and the first 200 of you to sign up will get 20% off your premium membership.   -- Books Mentioned --   What is real?: The Unfinished Quest for the Meaning of Quantum Physics by Adam Becker   QED: The Strange Theory of Light and Matter by Richard Feynman   The Structure of Scientific Revolutions by Thomas Kuhn   -- Social --  Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: math.physics.podcast@gmail.com Twitter: @MathPhysPod

Today we talk again with Dr. Rajendra Gupta from the University of Ottawa, who has made some interesting discoveries using JWST data. Enjoy the episode.   --Brilliant-- To all our listeners out there, we are so happy to say that you can head over to https://brilliant.org/mpp , and the first 200 of you to sign up will get 20% off your premium membership.   -- Links -- Dr Gupta's paper: https://academic.oup.com/mnras/article/524/3/3385/7221343?login=false Dr Gupta's email: rgupta4@uottawa.ca   -- Social --  Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: math.physics.podcast@gmail.com Twitter: @MathPhysPod

Today we talk with Dr. Don Figer about his work in the field of astrophysics and detector technology. Enjoy.   Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: math.physics.podcast@gmail.com Twitter: @MathPhysPod