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This DOE initiative highlights a strategic shift toward using AI/ML algorithms to solve specific engineering challenges in particle accelerator operations, such as resonance control for superconducting radio-frequency cavities. By automating the management of vibrations and pressure fluctuations, these models aim to enhance reliability and reduce costs at facilities like Fermilab's PIP-II, demonstrating how quantum-scale physics research is increasingly dependent on advanced machine learning infrastructure.

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$300M DOE Initiative Positions Fermilab as AI Science Leader

Quantum ZeitgeistJuly 25, 20264 min read

U.S. Department of Energy invests in Fermilab projects, leveraging AI to advance DOE’s Genesis Mission and accelerate scientific discovery. These awards, including an AI/ML project led by Fermilab and eight collaborations, position the lab as a contributor to the Genesis Mission and demonstrate leadership in applying artificial intelligence to discovery.

An investment from the U.S. Department of Energy’s Genesis Mission will position Fermilab as a central hub for artificial intelligence-driven scientific advancement, funding a portfolio of initiatives, including the AI/ML project led by Fermilab and eight others in which the lab is a key collaborator. Fermilab scientists will develop AI/ML-based resonance control algorithms designed to enable high-reliability, low-cost operations for particle accelerators, substantially improving performance and driving discovery science. “Fermilab is honored to receive this support for advancing artificial intelligence as part of DOE’s…

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