Youth AI Talk (YSS) #21: Dr. Yang Song — Advancements in Diffusion Models for Generative AI

To kick off our Youth Speaker Series, we are honored to have Dr. Yang Song joining us for a discussion around diffusion models for generative AI and their growing impact in pushing the boundaries of AI.

Dr. Yang Song is a research scientist at OpenAI, as well as an incoming assistant professor in Electrical Engineering and Computing + Mathematical Sciences at the California Institute of Technology (Caltech).

Dr. Song's research focuses on developing scalable methods for modeling, analyzing, and generating complex, high-dimensional data, with interests spanning generative modeling, representation learning, probabilistic inference, AI safety, and AI for science. His ultimate goal is to develop methods that are both accessible and effective, build intelligent systems that can improve human lives, and address problems that have wide-ranging significance.

Dr. Song's research accomplishments include developing a novel technique for generating images by training a network to unscramble noisy images, which has been implemented in OpenAI's DALLE2. He has published extensively on topics such as consistency models, diffusion models, learning to generate data, solving inverse problems in medical imaging, and constructing unrestricted adversarial examples with generative models.

Before joining OpenAI, Dr. Song received his Ph.D. in Computer Science from Stanford University, where he was advised by Stefano Ermon. He also worked as a research intern at Google Brain, Uber ATG (hosted by Raquel Urtasun, Chief Scientist of Uber), and Microsoft Research.

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About Youth Speaker Series: By attending the youth speaker series, you'll have the opportunity to learn about the unique journeys of young individuals who have begun to make huge waves in the field of AI. You'll gain insight into the challenges they faced, how they overcame them, and what motivated them to pursue a career in AI. Attending the Youth Speaker Series can be a source of inspiration and motivation, allowing you to picture yourself as a future AI expert and providing a window into what a thriving career in AI may entail for you. Furthermore, hearing from young speakers who have achieved success in AI can help to make the world of AI more accessible and relatable to you as a student. It can break down barriers and demystify AI, making it easier for you to envision your own path in this exciting field.

About the Youth AI Lab: the Youth AI Lab is an organization that aims to make machine learning more accessible to today’s youth and nurture AI leaders of the next generation. Through our programs, students can learn through peer-to-peer mentoring, hear from experts at the forefront of AI in academia and industry, connect with others interested in working on meaningful AI projects, and seek internship and research opportunities. Please sign up on the Youth AI Lab website (https://youthai.org/) as a member to automatically receive information about our Speaker Series, our newsletter, and other benefits.

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