Jakub M. Tomczak is an associate professor and the PI of the Generative AI group at the Eindhoven University of Technology (TU/e). Before joining the TU/e, he was an assistant professor at Vrije Universiteit Amsterdam, a deep learning researcher (Engineer, Staff) in Qualcomm AI Research in Amsterdam, a Marie Sklodowska-Curie individual fellow in Prof. Max Welling's group at the University of Amsterdam, and an assistant professor and a postdoc at the Wroclaw University of Technology. His main research interests include deep generative modeling, deep learning, and Bayesian inference, with applications to image/text processing, Life Sciences, and Molecular Sciences. He serves as an action editor of "Transactions of Machine Learning Research", and an area chair of major AI conferences (e.g., NeurIPS, ICML, AISTATS). He is the author of the book entitled "Deep Generative Modeling", the first comprehensive book on Generative AI. He is also the founder of Amsterdam AI Solutions.
Generative AI: Why? How? What?
Large Language Models and image generators showed that Generative AI is the way to go in building a new generation of AI systems. But is it a temporary trend about generating synthetic data, or there is more to it and the future of AI is generative? In this talk, we will first look into why Generative AI is an important paradigm. Next, we will discuss how we can build (deep) generative models. Eventually, we will point out what we do with Generative AI. The talk will conclude by indicating the challenges Generative AI needs to face in the short- and long-term.