Scientific program
1) Overview talks about AI in fundamental physics (details), focusing on the scientific domains listed below.
2) AI highlight talks (details).
3) Panel discussion about AI for Science.
4) "Horizontal" parallel session program, grouped by AI methods (see below track list). Selected abstracts from the parallel sessions will be promoted to plenary talks.
5) Integrated poster sessions, 1-2 poster sessions, featuring flash talks as part of the parallel program.
6) Workgroup discussions, featuring updates and interactive discussions on ongoing EuCAIF activities.
Scientific domains
Parallel session tracks
You can submit abstracts to these tracks here.
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Datasets & Ethics
including e.g. dataset creation, benchmarks, training, sustainability, AI ethics
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Explainability & Theory
including e.g. physics-informed AI, integration of physics and ML, explainable AI, symbolic regression
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Foundation Models
including e.g. foundation models & conversational AI, transformers for LLMs
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Hardware & Design
including e.g. hardware innovations, experimental design
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Inference & Uncertainty
including e.g. simulation-based inference, variational inference, unfolding, uncertainty quantification
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Patterns & Anomalies
including e.g. pattern recognition, image analysis, anomaly detection
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Real-Time Data Processing
including e.g. fast ML inference for real-time data processing, hardware acceleration, FPGAs
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Simulations & Generative Models
including e.g. generative models, simulation of physical systems
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Other
anything that does not fit into the above categories
