AI for Science: DL4SCI Summer School & Labs

Program: DL4SCI Summer School 2026 Host: Lawrence Berkeley National Laboratory – Computing Sciences Division Location: Berkeley, California, USA Duration: 5 Days (Summer 2026) Format: Lectures + Tutorials + Hands‑on Labs About the Program The Deep Learning for Science (DL4SCI) Summer School is an intensive training program designed for researchers and engineers interested in applying deep learning and generative AI to scientific discovery . Hosted by the Computing Sciences division at Berkeley Lab, the school focuses on foundation models, reasoning workflows, and agentic AI systems for solving complex scientific problems. Participants will gain exposure to cutting‑edge techniques and practical workflows used in modern AI‑driven research. The program will cover: Deep learning for scientific discovery Generative AI and foundation models for science Reasoning‑based workflows and agentic AI systems Training models at scale on high‑performance computing (HPC) systems Model evaluation, adaptation, and deployment Best practices for scientific machine learning Participants will engage in: In‑depth lectures from AI researchers Research talks and interactive sessions Hands‑on coding tutorials Practical labs with modern AI tools Networking and collaboration activities Optional poster sessions Who Should Apply The program is suitable for: Graduate students PhD researchers Engineers and scientists working in AI or scientific computing Candidates with interest in AI for scientific applications are strongly encouraged to apply. What You’ll Gain Hands‑on experience with state‑of‑the‑art deep learning methods Training on HPC‑enabled AI workflows Exposure to foundation models and generative AI for science Networking with leading AI researchers and peers #J-18808-Ljbffr Biopractify