This week, from December 9th to 11th, 2024, CERN played host to the NGT Algorithm Workshop – Lattice QCD at the large scale on exascale computing facilities, a dynamic three-day event bringing together leading experts in physics and computing. Part of the Next Generation Triggers (NGT) project and embedded within Task 1.5: New Computing Strategies…

On Monday, 25 November 2024, the inaugural Next Generation Triggers 1st Technical Workshop commenced at CERN, setting the stage for three afternoons of in-depth discussions on innovative approaches in trigger systems for the High-Luminosity Large Hadron Collider (HL-LHC). This workshop, running from 25 to 27 November and with over 100 participants everyday both in person…

As scientific discovery in high-energy physics reaches unprecedented depths, the computational challenges of analyzing vast datasets and complex interactions are becoming increasingly daunting. On November 4-5, 2024, CERN hosted the Workshop on Tensor Networks and (Quantum) Machine Learning for High-Energy Physics, an important event in the journey of the Next Generation Triggers (NGT) project. Organized…

As part of our commitment to continuous learning and development, T4.2, the STEAM Programme, plays a crucial role in equipping our team members with the advanced skills in cutting-edge computing and data science. This commitment to education prepared seven of our colleagues to pack their bags, laptops, and curiosity to join the 15th ESC International…

The Efficient Scientific Computing School is an international school organized by the Italian National Institute for Nuclear Physics (INFN) from October 14th to October 24th 2024 at Ce.U.B. in Bertinoro, Italy. The theme of this year’s school, organised in partnership with the Next Generation Triggers project, is “Architectures, tools and methodologies for the development of large-scale scientific…

This year Thematic CERN School of Computing (tCSC) will focus on the theme of Machine Learning and Artificial Intelligence applied to Data Analysis and Accelerator Technology. The programme will offer 22 hours of lectures and hands-on exercises, complemented by student presentation sessions. After a first introduction to Machine Learning methods, the lectures and exercises will focus on Machine Learning in accelerator technologies…