April 30, 2024 to May 3, 2024
Amsterdam, Hotel CASA
Europe/Amsterdam timezone

Scientific Topics

Our goal is to provide a platform for establishing new connections between AI activities across various branches of fundamental physics, by bringing together researchers that face similar challenges and/or use similar AI solutions. The conference will be organized “horizontally”: sessions are centered on specific AI methods and themes, while being cross-disciplinary regarding the scientific questions.

  • Scientific domains

    • Accelerator physics

    • Astroparticle physics

    • Cosmology

    • Experimental particle physics

    • Gravitational wave physics

    • Nuclear Physics

    • Theoretical high-energy physics

  • AI techniques and methods

    • Generative models

    • Pattern recognition

    • Variational inference

    • Optimisation techniques

    • Sampling techniques

    • Surrogate models

    • Image analysis

    • Time-series analysis

    • Point-cloud analysis

    • Symmetries and machine learning

    • Physics-informed AI

    • Diffusion models and related techniques

    • Transformers and related techniques

    • Foundation models

    • Simulation-based/likelihood-free inference

    • Likelihood-based and/or variational inference

    • Integration of physics and ML

    • Scientific machine learning

    • Differentiable models and simulation codes

    • Quantum ML

    • Frugal AI

    • Large Language Models

    • AI for measurement/unfolding

    • Other AI techniques

  • AI usage

    • AI for handling nuisance parameters

    • Uncertainty quantification

    • Explainable AI

    • Trustworthy AI

    • Frequentist vs Baysian inference in AI

    • AI for discovery

    • AI for experiment/accelerator control and operation

    • AI for experimental design

    • AI for simulation of physical systems

    • AI for event reconstruction

    • Other AI usage

  • AI community

    • Open software & Open data

    • Benchmarks, datasets and models libraries

    • ML training and platforms

    • AI Ethics

    • AI tools

    • EuCAIF & Community building

    • Community consensus finding

  • AI Hardware and Acceleration

    • Sustainability of ML

    • Hardware acceleration

    • Sharing resources

    • Neuromorphic computing

    • FPGAs

    • AI in grid/cloud/distributed computing

  • Poster

  • Session A

  • Session B