CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering (theopenreader.org)

by TORcicada • 151 comments • 334 points

151 comments

[−] intoXbox 49d ago

They used a custom neural net with autoencoders, which contain convolutional layers. They trained it on previous experiment data.

https://arxiv.org/html/2411.19506v1

Why is it so hard to elaborate what AI algorithm / technique they integrate? Would have made this article much better

[−] moffkalast 48d ago

Ah anomaly detection, that makes a lot more sense.

[−] jgalt212 49d ago

Because it does not align with LLM Uber Alles.

[−] dcanelhas 49d ago

I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.

[−] ninjagoo 49d ago

> I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.

Already the case with consulting companies, have seen it myself

[−] blitzar 49d ago

I'm half expecting to see "AI model" appearing as stand-in for "if > 0" at this point in the cycle.

[−] phire 49d ago

I'm sure I've seen basic hill climbing (and other optimisation algorithms) described as AI, and then used evidence of AI solving real-world science/engineering problems.

[−] thesz 49d ago

There is an HIGGS dataset [1]. As name suggest, it is designed to apply machine learning to recognize Higgs bozon.

[1] https://archive.ics.uci.edu/ml/datasets/HIGGS

In my experiments, linear regression with extended (addition of squared values) attributes is very much competitive in accuracy terms with reported MLP accuracy.

[−] yread 49d ago

And why not, when linear regression works, it works so well it's basically magic, better than intelligence, artificial or otherwise

[−] etrautmann 49d ago

It seems like most of the implementation is FPGA, which I wouldn’t call “physically burned into silicon.” That’s quite a stretch of language

[−] vultour 49d ago

Because if it’s not an LLM it’s not good for the current hype cycle. Calling everything AI makes the line go up.

[−] fnord77 49d ago

Thanks for tracking this down. I too am annoyed when so-called technical articles omit the actual techniques.