CERN uses tiny AI models burned into silicon for real-time LHC data filtering

https://theopenreader.org/Journalism:CERN_Uses_Tiny_AI_Models_Burned_into_Silicon_for_Real-Time_LHC_Data_Filtering

CERN Uses Tiny AI Models Burned into Silicon for Real-Time LHC Data Filtering

CERN has developed ultra-small AI models embedded directly into custom chips to filter massive data streams from the Large Hadron Collider in real time, addressing the enormous data challenge of the world’s most powerful particle accelerator.

TheOpenReader
A bit of hype in the AI wording here. This could be called a chip with hardcoded logic obtained with machine learning
Is a LLM logic in weights derived from machine learning?
Well, yes. That's literally what it is.
What what is? The article has nothing to do with LLMs. It even explicitly says they don’t use LLMs.

> Is a LLM logic in weights derived from machine learning?

I was just answering this question. LLM logic in weights is fundamentally from machine learning, so yes. Wasn't really saying anything about the article.