Forging the future of AI
Leaders in artificial-intelligence research spoke to the Courier about what's next for the field, and how developments may impact fundamental science.
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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.
Silicon pixel detectors for particle tracking have blossomed into a vast array of beautiful creations that have driven numerous discoveries, with no signs of the advances slowing down.
Three decades since the Polish flag was hoisted at the entrance to CERN, Tadeusz Lesiak recollects the genesis of Poland’s membership and reflects on its impact.
The tracking systems of the ATLAS, LHCb and CMS experiments are undergoing complete replacements to prepare for the extreme operating conditions of future LHC runs.
Frontier instruments like the LHC and its detectors not only push back the boundaries of our knowledge, but also catalyse innovative technology for medical applications, writes Manuela Cirilli.
The recently installed, upgraded ALICE inner tracking system is the largest pixel detector ever built and the first at the LHC to use monolithic active pixel sensors.
Launched in February 2019, the European Union project ESCAPE is making strides towards an open scientific analysis infrastructure for particle physics and astronomy.
Eduard Boos and Victor Savrin look back at 75 years of developments at Russia’s Skobeltsyn Institute of Nuclear Physics.