Automated space telescopes are inspiring a new generation of particle accelerators that are primarily operated by AI. Verena Kain highlights four ways machine learning is already making the LHC more ...

Nuria Catalan Lasheras and Igor Syratchev explain why klystrons are strategically important to the future of the field – and how CERN plans to boost their efficiency above 90%. Generating power ...

A report from the LHCb experiment. Fig. 1. The invariant mass of di-pions produced in UPC PbPb collisions. The inset shows the nuclear suppression factor compared to the GKZ model, to the STARlight ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry. Flying high Antoni Shtipliyski is an engineering manager at Skyscanner, where ...

Community inputs Self-attributed themes of the 263 community inputs to the European Strategy process. The themes are ordered by umbrella category and percentage of total submissions, with the raw ...

Lu Lu looks forward to the next two decades of neutrino astrophysics, exploring the remarkable detector concepts needed to ...

DESY’s new chair, Beate Heinemann, reflects on the laboratory’s evolving role in science and society – from building next-generation accelerators to navigating Europe’s geopolitical landscape.

Louis Lyons traces the origins of the “five sigma” criterion in particle physics, and asks whether it remains a relevant marker for claiming the discovery of new physics. Disentanglement A Jackson ...

The development at CERN of magnesium diboride cables and other advanced superconducting systems for the High-Luminosity LHC is also driving applications beyond fundamental research, describes Amalia ...

Patrick Koppenburg and Marco Pappagallo survey the 23 exotic hadrons discovered at the LHC so far. Twenty-three exotic states Five pentaquarks and 18 tetraquarks have been discovered so far at the LHC ...