CERN Embeds AI Directly in Silicon Chips to Handle LHC's Impossible Data Scale

CERN's shift from GPU-based AI to custom silicon chips represents a critical solution to one of science's most extreme data challenges—filtering petabytes per second in real-time. By embedding optimized AI models directly into FPGAs and ASICs, the lab achieves microsecond-level latency that conventional computing cannot match. This signals a broader trend: as data generation outpaces storage capabilities, hardware-embedded inference is becoming essential for next-generation science.