Hosted by Computing Sciences at Berkeley Lab, the 2025 Deep Learning for Science (DL4SCI) Summer School is a five-day immersive program that brings together researchers and engineers to explore the latest advances in deep learning and generative AI (GenAI). The school will run from June 23 to 27, 2025, and is in-person.
Topics covered
The school will feature in-depth lectures, research talks, and hands-on tutorials on state-of-the-art techniques, including transformers, large language models, diffusion models, flow matching, and generative adversarial networks, as well as practical sessions on best practices for running deep learning at scale on high performance computing systems.
The program will cover theory but emphasize practical application. Local and international AI experts will lead interactive labs and offer state-of-the-art code and content. Attendees will gain a strong understanding of GenAI, the types of problems it excels at, and how to choose, build, train, and deploy GenAI models for scientific applications.
How to Attend
For more information and to apply, please visit the DL school webpage. The deadline for applications is March 31, 2025.