Jesse Thaler argues that particle physicists must go beyond deep learning and design AI capable of deep thinking.
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 long-lived particle community marked five years of stretching the limits of searches for new physics with its ninth and best-attended workshop yet.
Over 1000 physicists took part in the ninth Large Hadron Collider Physics conference.
In an attempt to shed light on the neutron-lifetime puzzle, a team at Japan’s KEK laboratory in collaboration with Japanese universities has developed a new experimental setup.
Data from CERN's NA64 experiment place constraints on new particles that might account for the electron g-2 and ATOMKI anomalies.
The ATLAS collaboration recently released a set of results based on the full LHC Run 2 dataset that explore some of the most challenging experimental scenarios involving higgsinos.
The question of making research data findable, accessible, interoperable and reusable is a burning one throughout modern science.
The recent Fermilab result offers a moment to reflect on perseverance and collaboration.