This inventor holds 1 USPTO granted patent and 6 published patent applications. Top assignee: Robert Bosch. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Timo Pfrommer: Innovator in Machine Learning Technology
Introduction
Timo Pfrommer is a notable inventor based in Stuttgart, Germany. He has made significant contributions to the field of machine learning, particularly in the development of innovative systems and methods that enhance the performance of machine learning classifiers. His work is characterized by a focus on precision and efficiency in algorithmic processes.
Latest Patents
Timo Pfrommer holds a patent for an "Ultrasonic system and method for tuning a machine learning classifier used within a machine learning algorithm." This patent describes a method and system for tuning a machine learning classifier by providing object class requirements that include rank thresholds and a range goal. The system aims to minimize false positive results by defining a minimum distance from the object. A base classifier is trained using a weighted loss function, which incorporates weight values computed from the object class requirements. The output of this function is evaluated using an objective function, and the weights can be re-tuned if the output does not converge within a predetermined loss threshold. This innovative approach enhances the reliability of machine learning applications.
Career Highlights
Timo Pfrommer is currently employed at Robert Bosch, a leading global engineering and technology company. His role involves the application of his patented technology to improve machine learning processes within various projects. His expertise in this area has positioned him as a valuable asset to his team and the company.
Collaborations
Timo collaborates with talented colleagues, including Abinaya Kumar and Fabio Cecchi. Together, they work on advancing machine learning technologies and exploring new applications for their innovations.
Conclusion
Timo Pfrommer's contributions to machine learning through his innovative patent and work at Robert Bosch highlight his role as a key figure in the field. His dedication to enhancing algorithmic performance continues to influence the development of advanced technologies.