Scientific domains
Parallel session tracks
Datasets & Ethics
including e.g. dataset creation, benchmarks, training, sustainability, AI ethics
Explainability & Theory
including e.g. physics-informed AI, integration of physics and ML, explainable AI, symbolic regression
Foundation Models
including e.g. foundation models & conversational AI, transformers for LLMs
Hardware & Design
including e.g. hardware innovations, experimental design
Inference & Uncertainty
including e.g. simulation-based inference, variational inference, unfolding, uncertainty quantification
Agentic AI
including e.g. multi-agent systems, agents interacting with complex environments or scientific workflows
Patterns & Anomalies
including e.g. pattern recognition, image analysis, anomaly detection
Real-Time Data Processing
including e.g. fast ML inference for real-time data processing, hardware acceleration, FPGAs
Simulations & Generative Models
including e.g. generative models, simulation of physical systems
Other
anything that does not fit into the above categories