This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Sap Se. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: The Innovative Mind of Stefan Butscher
Introduction
Stefan Butscher is a notable inventor based in Sandhausen, Germany. He has made significant contributions to the field of machine learning, particularly in the verification and calibration of machine learning models. His innovative approach has led to the development of a unique patent that addresses key challenges in this rapidly evolving domain.
Latest Patents
Stefan Butscher holds a patent for a "Machine learning verification procedure." This patent encompasses systems, methods, and techniques designed to efficiently and effectively verify and calibrate a machine learning model. The method involves training a machine learning model by processing training data and manipulating a first data set of that training data. By applying this manipulated data set to the machine learning model, a first matching rate is determined. Additionally, the method includes applying the manipulated data set to a rule engine to ascertain a second matching rate. The difference between these two rates is then evaluated to determine if it falls within a predefined threshold range, providing an error indication if it does not.
Career Highlights
Stefan Butscher is currently employed at SAP SE, a leading enterprise software company. His work at SAP has allowed him to collaborate with other talented professionals in the field, enhancing his expertise and contributing to the company's innovative projects.
Collaborations
One of his notable coworkers is Frank Krueger, with whom he has likely shared insights and collaborated on various projects within the realm of machine learning and software development.
Conclusion
Stefan Butscher's contributions to machine learning verification highlight his innovative spirit and dedication to advancing technology. His patent reflects a significant step forward in ensuring the reliability of machine learning models, showcasing his role as a key player in this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
