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Meta releases BOxCrete, a Bayesian Optimization AI model for designing sustainable and domestically-produced concrete mixes in the U.S.
•BOxCrete uses Meta's Adaptive Experimentation (Ax) platform with Bayesian optimization to intelligently explore concrete formulations instead of relying on trial-and-error
•The model improves over previous versions with better robustness to noisy data and adds slump prediction, an indicator of concrete workability
•In a real-world deployment at Meta's Rosemount, MN data center, the AI-optimized mix reached full structural strength 43% faster and reduced cracking risk by nearly 10%
•Meta is releasing both the BOxCrete model and the foundational dataset from the Rosemount project as open source under the MIT license on GitHub
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Pennsylvania-based SaaS platform Quadrel has already integrated Meta's AI framework into daily mix design and quality control workflows for the ready-mix industry
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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