AISSAI/GAP2026 is the second edition of the Grenoble AI for Physical Sciences (GAP) workshop, following the great success of its inaugural edition in 2024. GAP brings together international experts working at the intersection of artificial intelligence and the physical sciences, with a particular focus on inverse problems, simulation-based inference, data-driven discovery, and foundational models for science. The 2026 edition will continue to highlight cutting-edge advances in theory, algorithms, high-performance computing, and applications across domains such as climate and geosciences, astrophysics, neuroscience, and engineering systems. The format emphasizes pedagogical and forward-looking invited talks that introduce fundamental concepts and survey current challenges and research frontiers. We expect around 200 participants this year. In addition to invited talks, the programme will feature a poster session to showcase ongoing research, encourage exchanges among participants, and stimulate new collaborations across disciplines.
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