[jaddood]

I am sure the people at CERN have reasons in choosing machine learning for that purpose, but I don't see it ideal for this case. Machine learning might be able to give you your results faster, but generally with a lot lower accuracy. But suppose the teams got to a really good accuracy in their programs, it's still for the known and expected. In particle physics research — or any research for that matter — you cannot simply give it a shot, because your system might miss very interesting collisions while you think it's working perfectly fine. I think quantum computing can be really quite useful here given that the analysis can benefit from parallel processing. Should ML be necessary, I recommend develop it in a way that its doings are understandable. (I'm not sure they'll even read the comment to get the recommendation, but let's give it a try.) Explainable AI is becoming really significant these days, and some big companies and organisations are working on it. If I'm not mistaken, the DARPA is working on a project as such, so it's really not too far off.