The MODE collaboration is organizing its third workshop at Princeton University in July 2023, where physicists and computer scientists will collaborate to solve complex optimization problems in experiment design. The existing technical tools have enabled us to tackle the problem of finding the optimal configuration of hardware for particle physics experiments. However, some paradigms in experiment design still continue to be followed without exploring alternatives and future capabilities in data use. The MODE collaboration has started studying small-scale detectors and tasks to build experience in solving specific optimization tasks, with the goal of eventually tackling full-fledged optimization for larger experiments. The workshop will provide a platform to discuss recent advancements in experiment optimization and techniques that can be used for that task. Registrations and abstract submissions for the workshop are currently open at the workshop site.
Third MODE Workshop at Princeton University in July 2023
The MODE collaboration, founded in 2020, is organizing its third workshop at Princeton University in July 2023. The workshop aims to bring together physicists and computer scientists to collaborate in solving complex optimization problems in experiment design. The existing technical tools have enabled us to tackle the problem of finding the optimal configuration of hardware for particle physics experiments with exact characterizations. However, some paradigms in experiment design still continue to be followed without exploring alternatives and future capabilities in data use.
The MODE collaboration has started studying small-scale detectors and tasks to build experience in solving specific optimization tasks, with the goal of eventually tackling full-fledged optimization for larger experiments. The workshop will provide a platform to discuss recent advancements in experiment optimization and techniques that can be used for that task, regardless of the target application. Differentiable programming is the common denominator of these activities, but optimization may also rely on non-differentiable models and tools.
The workshop will have sessions in computer science and various research areas that use particle detectors. Registrations and abstract submissions for the workshop are currently open at the workshop site. This event presents an opportunity for machine learning applications to advance fundamental science.
Join us at the third MODE workshop in Princeton this July!
Don’t miss interesting posts on Famousbio
