Read article 'CERN unveils roadmap for quantum technology'
CERN unveils roadmap for quantum technology
Exploring the potential of quantum information science and technologies for high-energy physics.
Read article 'CERN unveils roadmap for quantum technology'
Read article 'Having the right connections is key'
Having the right connections is key
SKAO director-general Philip Diamond describes how the world's largest radio telescope went from concept to construction.
Read article 'Making complexity irrelevant'
Making complexity irrelevant
Headed by two ATLAS physicists, gluoNNet applies data-mining and machine-learning techniques to benefit wider society.
Read article 'Learning to detect new top-quark interactions'
Learning to detect new top-quark interactions
A new CMS analysis searches for anomalies in top-quark interactions with the Z boson using an effective-field-theory framework.
Read article 'Emergence'
Emergence
Erik Verlinde sizes up the Standard Model, gravity and intelligence as candidates for future explanation as emergent phenomena.
Read article 'Web code auctioned as crypto asset'
Web code auctioned as crypto asset
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.
Read article 'Designing an AI physicist'
Designing an AI physicist
Jesse Thaler argues that particle physicists must go beyond deep learning and design AI capable of deep thinking.
Read article 'Forging the future of AI'
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.
Read article 'Hunting anomalies with an AI trigger'
Hunting anomalies with an AI trigger
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.
Read article 'What’s in the box?'
What’s in the box?
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.
