CERN alumni who have returned to the classroom reveal teaching to be one of the hardest but most rewarding things they have ever done.
The latest PHYSTAT meeting concentrated on the way systematic effects are incorporated in a range of particle-physics analyses.
Beyond the setting of new records, precise knowledge of the luminosity at particle colliders is vital for physics analyses.
EPS-HEP 2021 saw breathtaking results from LHC Run 2, writes Christophe Grojean.
A town-hall meeting initiated a broad and community-driven discussion leading to a final strategy document in two to three years’ time.
As TikTok dethrones Facebook as the most popular app, the Courier explores how high-energy physicists are taking advantage of the social-media phenomenon.
Berkeley Lab’s Cyclotron Road initiative is helping science innovators to translate their ideas into high-impact technologies.
Leaders in artificial-intelligence research spoke to the Courier about what's next for the field, and how developments may impact fundamental science.
Jennifer Ngadiuba and Maurizio Pierini describe how ‘unsupervised’ machine learning could keep watch for signs of new physics at the LHC that have not yet been dreamt up by physicists.
The LHC Olympics and Dark Machines data challenges stimulated innovation in the use of machine learning to search for new physics, write Benjamin Nachman and Melissa van Beekveld.