the fact that 99% of LHC data is just gone forever is insane
CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
41–50 of 166 posts
Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#42Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#43They 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
I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.
> 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
Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#44Earlier quoted context omitted.
I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.
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.
Historically this was very much in the field of AI, which is such a massive field that saying something uses AI is about as useful as saying it uses mathematics. Since the term was first coined it's been constantly misused to refer to much more specific things.
From around when the term was first coined: "artificial intelligence research is concerned with constructing machines (usually programs for general-purpose computers) which exhibit behavior such that, if it were observed in human activity, we would deign to label the behavior 'intelligent.'" [1]
Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#45Earlier quoted context omitted.
Strictly speaking, expert systems are AI as well, as in, an expert comes up with a bunch of if/else rules. So yes technically speaking even if they didn’t acquire the weights using ML and hand-coded them, it could still be called AI.
It is 100% valid to label an algorithm that plays tic-tac-toe as "AI" Much of the early AI research was spent on developing various algorithms that could play board games. Didn't even need computers, one early AI was MENACE [1], a set of 304 matchboxes which could learn how to play noughts and crosses. [1] https://en.wikipedia.org/wiki/Matchbox_Educable_Noughts_and_...
Yup this is exactly my point, in the 80s there were plenty of “AI” companies and “fuzzy logic” was the buzzword of the day.
Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#46When is the price of fabbing silicon coming down, so every SMB can do it?
Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#47Intuitively, I’ve always had an impression that using an analogue circuit would be feasible for neural networks (they just matrix multiplication!). These should provide instantaneous output. Isn’t this kind of approach feasible for something so purpose-built?
You might wanna look at https://taalas.com/
Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#48Very important! This is not a LLM like the ones so often called AI these days. Its a neural network in a FPGA.
Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#49Very important! This is not a LLM like the ones so often called AI these days. Its a neural network in a FPGA.
> FPGA
So they aren't "burned into silicon" then? The article mentions FPGAs and ASICs but it's a bit vague. I would be surprised if ASICs actually made sense here.
Re: CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering
#50They 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
Because if it’s not an LLM it’s not good for the current hype cycle. Calling everything AI makes the line go up.