A new CMS analysis searches for anomalies in top-quark interactions with the Z boson using an effective-field-theory framework.
Erik Verlinde sizes up the Standard Model, gravity and intelligence as candidates for future explanation as emergent phenomena.
Time-stamped files stated by Tim Berners-Lee to contain the original source code for the web and digitally signed by him, have sold for US$5.4 million at auction.
Jesse Thaler argues that particle physicists must go beyond deep learning and design AI capable of deep thinking.
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.
Artificial-intelligence techniques have been used in experimental particle physics for 30 years, and are becoming increasingly widespread in theoretical physics. Anima Anandkumar and John Ellis explor...
The workshop explored new perturbative results and methods in quantum field theory, collider physics and gravity.
The 25th International Conference on Computing in High-Energy and Nuclear Physics gathered more than 1000 participants online across 20 time zones, from Brisbane to Honolulu.