US Patent Issued to Geminus.AI on Nov. 18 for "Data-efficient multi-acquisition strategy for selecting high-cost computational objective functions" (California, Michigan Inventors)

ALEXANDRIA, Va., Nov. 18 -- United States Patent no. 12,474,690, issued on Nov. 18, was assigned to Geminus.AI Inc. (Cambridge, Mass.).

"Data-efficient multi-acquisition strategy for selecting high-cost computational objective functions" was invented by Nicholas C. Crabb (Sunnyvale, Calif.) and Karthikeyan Duraisamy (Ann Arbor, Mich.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of optimizing parameters for an industrial process is described, along with media and systems, using a digital twin, physics based model and multiple types of acquisition functions. Output data from the model is analyzed by multiple types of Bayesian acquisition functions, such as an expected improvement acquisition functio...