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

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CERN Uses Tiny AI Models Burned into Silicon for Real-Time LHC Data Filtering (theopenreader.org)

From the post:

>The Large Hadron Collider (LHC) generates an extraordinary volume of raw data — approximately 40,000 exabytes per year, equivalent to roughly one quarter of the entire current internet. During peak operation, the data stream can reach hundreds of terabytes per second, far exceeding the capacity of any feasible storage or conventional computing system.

Archive: https://archive.today/3rRDG From the post: >>The Large Hadron Collider (LHC) generates an extraordinary volume of raw data — approximately 40,000 exabytes per year, equivalent to roughly one quarter of the entire current internet. During peak operation, the data stream can reach hundreds of terabytes per second, far exceeding the capacity of any feasible storage or conventional computing system.

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