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
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#142 Arjun Subramonian: The Intersection of AI, Diversity, and Ethics
#141 Peter Voss Reveals the Future of Artificial General Intelligence
#140 Isabelle Guyon: The Future of AI and Support Vector Machines
#139 Dmitry Shapiro: Breaking Barriers with No Code AI
#138 Dan O'Connell: How AI is Disrupting Business Communications
#137 Raul Martynek: How AI Will Change Data Centers Forever
#135 Diaa El All: How AI Could Change Music Forever
#134 Alex Zhavoronkov: Unraveling AI's Crucial Role in Pharma
#133 Michael Jordan: How Deep Learning Has Completely Changed Industries
#132 Scott Downes: Navigating the Language of AI & Large Language Models
#131 Andrew Ng: Exploring Artificial Intelligence’s Potential & Threats
#130 Mathew Lodge: The Future of Large Language Models in AI
#129 Alexandra Geese: Demystifying AI Regulations in Europe & Beyond
#128 Yoshua Bengio: Dissecting The Extinction Threat of AI
#127 Clemens Mewald: Redefining the Boundaries of Artificial Intelligence & GPT-4
#126 Noam Chomsky: Decoding the Human Mind & Neural Nets
#125 Pascal Weinberger: Harnessing the Power of Generative AI for Creativity & Productivity
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