Company Filing History:
Years Active: 2014-2025
Title: Kirk Lars Bruns: Innovator in Algorithm Selection and Evaluation
Introduction
Kirk Lars Bruns is a notable inventor based in Waitsfield, Vermont, with a significant contribution to the field of algorithm selection and evaluation. He holds six patents that showcase his innovative approach to improving algorithm performance in real-time environments. His work is particularly relevant in today's technology-driven landscape, where efficient algorithm management is crucial.
Latest Patents
Bruns' latest patents include a "Potential replacement algorithm selection based on algorithm execution context information." This invention involves an algorithm selection platform that accesses a data store of available algorithms. It compares these algorithms with the requirements of the current algorithm executing in a real environment. The platform then determines the algorithm execution context information and selects a potential replacement algorithm based on this analysis. Another significant patent is the "Performance manager to autonomously evaluate replacement algorithms." This system autonomously evaluates replacement algorithms by managing the execution of a current algorithm in a live environment and utilizing a shadow environment to test potential replacements.
Career Highlights
Kirk Lars Bruns has made substantial contributions to General Electric Company, where he applies his expertise in algorithm management. His innovative solutions have enhanced the efficiency and effectiveness of algorithm execution in various applications.
Collaborations
Bruns has collaborated with notable colleagues, including Charles Burton Theurer and Bradford Wayne Miller. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Kirk Lars Bruns is a distinguished inventor whose work in algorithm selection and evaluation has made a significant impact in the field. His patents reflect a commitment to advancing technology and improving algorithm performance in real-world applications.
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