%0 Journal Article %1 castelvecchi2018particle %A Castelvecchi, Davide %D 2018 %J Nature %K 2018 article artificial-intelligence cern magazine nature physics %R 10.1038/d41586-018-05084-2 %T Particle physicists turn to AI to cope with CERN’s collision deluge %U https://doi.org/10.1038/d41586-018-05084-2 %X Can a competition with cash rewards improve techniques for tracking the Large Hadron Collider’s messy particle trajectories?

@article{castelvecchi2018particle, abstract = {Can a competition with cash rewards improve techniques for tracking the Large Hadron Collider’s messy particle trajectories?}, added-at = {2018-05-07T20:48:02.000+0200}, author = {Castelvecchi, Davide}, biburl = {https://www.bibsonomy.org/bibtex/20da31774daba4ce45ec582ea0eb0a5c6/achakraborty}, description = {Particle physicists turn to AI to cope with CERN’s collision deluge}, doi = {10.1038/d41586-018-05084-2}, interhash = {3585e087f6f9128eea67a2cdb8b6d0dd}, intrahash = {0da31774daba4ce45ec582ea0eb0a5c6}, journal = {Nature}, keywords = {2018 article artificial-intelligence cern magazine nature physics}, refid = {Castelvecchi2018}, timestamp = {2018-05-07T20:48:02.000+0200}, title = {Particle physicists turn to AI to cope with CERN’s collision deluge}, url = {https://doi.org/10.1038/d41586-018-05084-2}, year = 2018 }