This Talk will take place in English in Geneva, at UniMail and on Zoom.
For online attendance the registration is not required. In person attendance will need registration - Geneva satellite event of OAI14.
Abstract: 

Deep beneath the Swiss-French border, the Large Hadron Collider (LHC) at CERN smashes protons together at nearly the speed of light to probe the fundamental building blocks of the universe. Each collision produces a shower of particles — and a flood of data. In fact, the LHC generates tens of thousands of exabytes of raw data every year, far more than can be stored or analyzed directly.

To make discoveries like the Higgs boson possible, scientists rely on advanced AI and machine learning systems, combined with cutting-edge hardware, to sift through millions of events per second in real time. These tools help identify rare and valuable signals hidden in a sea of noise.

In this talk, Dr. Thea Aarrestad will offer an inside look at how physicists and engineers use AI to push the limits of data, speed, and precision in one of the most ambitious scientific experiments ever undertaken.
 

 
Speaker: Dr. Thea Klaeboe Aarrestad | ETH Zürich
Thea Aarrestad is a fellow at the Institute for Particle Physics and Astrophysics at ETH Zürich. She holds a PhD in Particle Physics from the University of Zürich and has worked as a research fellow at CERN in Geneva before moving to ETH. Her research centers on how Machine Learning can be applied to particle physics problems, especially focusing on using real-time Machine Learning (ML) for discovering new physics phenonema. She has worked on tools for performing low-power, nanosecond ML inference on field-programmable gate arrays (FPGAs) together with scientists from CERN, Google and Volvo-company Zenseact, as well as developing new methods for collecting and analysing proton collision data at the CERN Large Hadron Collider using ML-based anomaly detection techniques.
The Zentralbibliothek Zurich, the CERN Scientific Information Service, and AILIS (Association of International Librarians and Information Specialists, Geneva) jointly organize the Library Science Talks. A programme of talks for 2025 can be found on the AILIS website.