From Zero to Hero - Part 1

• Troels Petersen (NBI Copenhagen)

From Zero to Hero - Part 2

• Troels Petersen (NBI Copenhagen)

Likelihoods & Uncertainties - Part 1

• Tilman Plehn (Heidelberg University)

A Second AI Revolution for Fundamental Science

• Tommaso Dorigo (INFN Padova)

The success of automatic methods for image classification in 2012 marks a phase transition in the performance of machine learning algorithms; those developments have led to a revolution in the way the extraction of information from complex data is operated in fundamental science experiments. A second AI-powered revolution is under way now, thanks to the development of more advanced, powerful algorithms and methods; its end goal is the assistance of humans in the optimal design of scientific experiments. The large dimensionality of the parameter space describing apparata such as particle collider detectors, the stochasticity of the physical processes generating relevant data in those systems, and the complexity of the objective function of multi-target experiments can now be handled by new AI techniques. In particular, the concept of co-design of hardware and software gains prominence for its crucial tackling of the misalignment between the design of hardware systems and the choice and tuning of software methods for inference extraction. In this presentation I will discuss the state of the art of research in these thriving subjects. References: end-to-end optimization: https://doi.org/10.1016/j.revip.2023.100085 co-design: https://arxiv.org/abs/2603.26613

Likelihoods & Uncertainties - Part 2

• Tilman Plehn (Heidelberg University)

Machine Learning through the Lens of Physics - Part 1

• Jesse Thaler (MIT)

Trip to Paris

Machine Learning through the Lens of Physics - Part 2

• Jesse Thaler (MIT)

Generative Networks - Part 1

• Sofia Palacios Schweitzer (Rutgers University)

Hands on Tutorials

Hands on Tutorials

Generative Networks - Part 2

• Sofia Palacios Schweitzer (Rutgers University)

Foundational Models - Part 1

• Nicole Hartman (Technical University of Munich)

Foundational Models - Exercise Session

• Nicole Hartman (Technical University of Munich)

Hands on Tutorials

Foundational Models - Part 2

• Nicole Hartman (Technical University of Munich)

Agentification

• Daniel Schiller (Institute of Theoretical Physics)

Presentations