Join host Craig Smith on episode #177 of Eye on AI as he explores the cutting-edge world of generative models in artificial intelligence with Björn Ommer, a visionary AI researcher and Head of Computer Vision & Learning Group at Ludwig Maximilian University of Munic.
In this episode, Björn delves into the fascinating inner workings of diffusion models, shedding light on the pivotal role these models play in advancing technology and society. Discover the groundbreaking development of stable diffusion, a key innovation by Bjorn's team that is setting new standards in the democratization of AI technology.
Learn about the challenges and solutions in making AI accessible on consumer hardware, ensuring that the power of generative AI is not confined to well-funded organizations but available to all. Bjorn shares his expert insights on the balance between open-source innovation and proprietary development, emphasizing the societal implications of generative AI.
This episode is an essential listen for anyone intrigued by the potential of AI to transform our understanding of the visual world, the importance of accessibility in technology, and the future of AI development.
If you're captivated by the evolution of AI and the profound impact of generative models like stable diffusion, don't forget to rate us on Apple Podcast and Spotify.
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(00:00) Preview and Introduction
(01:38) Bjorn Omer's Journey into AI
(03:03) The Evolution of AI Before Deep Learning
(06:38) Democratizing AI with Stable Diffusion
(09:45) Explaining Diffusion Models
(13:40) Challenges of AI on Consumer Hardware
(17:05) The Binding Problem in Vision Research
(22:27) Mechanisms in Stable Diffusion: Attention and Diffusion Processes
(26:09) Open Source vs. Proprietary AI Models
(30:16) Making Compute Resources More Accessible
(34:30) Reducing Compute Requirements in AI Models
(38:52) The Concept of World Models in AI Research
(41:50) The Future of AI and the Fallacy of Scaling
Episode 43 - Pietro Perona
Episode 42 - Eric Horvitz
Episode 41 - Gilman Louie
Episode 40 - Jason Matheny
Episode 39 - Katharina McFarland
Episode 38 - Jose-Marie Griffiths
Episode 37 - Andrew Moore
Episode 36 - Vittorio Sebastiano
Episode 35 - Irina Rish
Episode 34 - David Cox
Episode 33 - Justin Gottschlich
Episode 32 - Casimir Wierzynski
Episode 31 - Terry Sejnowski
Episode 30 - The 3 Most Interesting Trends In AI
Episode 29 - Daphne Koller
Episode 28 - Aude Billard
Episode 27 - Eric Schmidt and Robert O. Work
Episode 26 - Labelbox
Episode 25 - Dawn Song
Episode 24 - Climate Change and AI
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