You do unsupervised learning without labels with a linear regression. Interesting. What would you regress in this case? The problem is the following: you have a point cloud of data (electronic signal from arrays arranged into an irregular pattern). You know the physics that was discovered. You are looking for rare events (one in a billion or less) and you don’t know what they look like.
Wrong!
We do how to solve the problem, but the solution does not run on an electronic board at 100 nsec. So it has to be approximated with a function that runs within that time
constraint.
Also, if deciding to accept/reject events based on a learned metric of typicality is not AI, then why guessing the next token is AI? We have robots going around the LHC tunnel fixing things in high radiation environment. Is that enough AI? If not, we accept volunteers to replace the robots… Relax people and try to imagine that life might be more complicated than what an oversimplified general public article says
Perplexity, aka measuring how much a network is sure about its answer. Which might be wrong. It would not pass the pier review of any particle physics journal. (Real) science is about being right, not about being sure about itself.
And this problem is a joke compared to a real problem. We are talking about going from 40 MHz to 100 kHz incoming data stream, after which a second layer of real-time selection reduces the data to 1 kHz which is processed, cleaned, elaborated into high level features that you have in that dataset. But if you think you can do better, apply for a CERN job, come here and enlighten us!
And you think we did not try linear regressions? This is what we used to do 20 years ago. Then we gained two orders of magnitude in signal-to-background discrimination. And since our data are not even images, off-shelf solutions mostly don’t apply. Try to process40 MHz of incoming collisions (1 MB each) within 100 nsec with a linear regression of point-cloud data. When you are done trying, try to think that maybe (maybe…) life is not as easy as bread&butter. If you succeed, come and knock at CERN’s door. Maybe we will let you in…
