Deep Learning Science; DLSCI Summer School | Berkeley Lab

Program: DL4

SCI 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

The Deep Learning for Science (DL4

SCI) 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

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.

• 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