The 2nd Summer School on Advancing Scientific Discovery with AI is a comprehensive program designed to explore the intersection of artificial intelligence (AI) and scientific research.

This event aims to provide participants with a deep understanding of how AI techniques can be leveraged to accelerate and enhance the scientific discovery process across various domains.

The summer school will cover a wide range of topics, including machine learning for scientific data analysis, AI-driven experimental design and optimization, the use of generative models in scientific applications, and the integration of AI with physical simulations and theoretical frameworks.

Participants will have the opportunity to engage in hands-on workshops, case studies, and discussions led by renowned experts in the field, fostering a collaborative environment for knowledge sharing and interdisciplinary collaboration.

The overarching goal of the summer school is to equip researchers, scientists, and students with the necessary skills and insights to harness the power of AI in their own scientific endeavors.

By bridging the gap between AI and scientific discovery, this event aims to catalyze groundbreaking advancements and accelerate the pace of scientific progress.

The programme is designed for: PhD students, post-doctoral students and researchers in science.