Company Filing History:
Years Active: 2025
Title: Ruth Anne Grosskopf: Innovator in Machine Learning for Vehicle Safety
Introduction
Ruth Anne Grosskopf is a notable inventor based in Bloomington, IL (US). She has made significant contributions to the field of machine learning, particularly in the context of vehicle accident analysis. Her innovative work focuses on enhancing safety measures through advanced technology.
Latest Patents
Ruth Anne Grosskopf holds 1 patent for her invention titled "Machine learning models for vehicle accident potential injury detection." This patent describes techniques for training and executing machine learning models that assess injury probabilities based on vehicle accident data. The invention includes a decision tree model that utilizes various branching criteria derived from specific vehicle accident data and corresponding injury ground truth data. The model execution component is designed to determine the likelihood of potential injuries associated with vehicle accidents. By analyzing these probabilities, the system can identify target computer systems and processes to initiate based on the assessed injury risks. The architecture may also leverage event-driven systems and cloud-based services for data processing related to individual vehicle accidents.
Career Highlights
Ruth Anne Grosskopf is currently employed at State Farm Mutual Automobile Insurance Company, where she applies her expertise in machine learning to improve vehicle safety. Her work is instrumental in developing systems that can predict and mitigate injury risks in the event of an accident.
Collaborations
Throughout her career, Ruth has collaborated with talented professionals, including Justin Devore and Sateesh K Nallamothu. These collaborations have further enriched her research and development efforts in the field of vehicle safety.
Conclusion
Ruth Anne Grosskopf's innovative contributions to machine learning and vehicle safety exemplify the impact of technology on enhancing public safety. Her work continues to pave the way for advancements in accident analysis and injury prevention.