This inventor holds 4 USPTO granted patents and 2 published patent applications. Top assignees: Robert Bosch, Robert Bosch Gmbh. Active years: 2022-2025.
Company Filing History:
Years Active: 2022-2025
Title: Jan Stellet: Innovator in Neural Network Performance and System Safeguarding
Introduction
Jan Stellet is a notable inventor based in Stuttgart, Germany. He has made significant contributions to the field of neural networks and system safeguarding, holding a total of 4 patents. His innovative methods focus on enhancing the accuracy and reliability of prediction tasks in neural networks.
Latest Patents
Stellet's latest patents include a method for checking the performance of a prediction task by a neural network. This method involves supplying image data to a feature extraction network, determining a representation of the image data, and comparing optical flow results to ensure accuracy. Another significant patent is a computer-implemented method for safeguarding a system against false negatives. This method computes time series of criticality and reference, identifying near-false negatives to enhance system reliability.
Career Highlights
Throughout his career, Jan Stellet has worked with prominent companies, including Robert Bosch and Robert Bosch GmbH. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.
Collaborations
Stellet has collaborated with talented individuals such as Stefan Aulbach and Michael Egert. These partnerships have fostered a creative environment that has led to the development of impactful technologies.
Conclusion
Jan Stellet's work in neural networks and system safeguarding showcases his dedication to innovation and technology. His patents reflect a commitment to improving the accuracy and reliability of predictive systems, making him a significant figure in his field.