Renningen, Germany

Thomas Pfeil

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 1.5

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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6 patents (USPTO):Explore Patents

Title: Thomas Pfeil: Innovator in Classifier Training and Physical Property Assessment

Introduction

Thomas Pfeil is a notable inventor based in Renningen, Germany. He has made significant contributions to the fields of machine learning and sensor technology. With a total of 6 patents, Pfeil's work focuses on advancing methods for training classifiers and ascertaining physical properties of objects.

Latest Patents

One of Pfeil's latest patents is a "Device and method for training a classifier using an invertible factorization model." This computer-implemented method is designed to train a classifier that determines an output signal characterizing the classification of an input signal. The training process involves determining a first training input signal and generating a first latent representation based on this signal using an invertible factorization model. The method further adapts factors of the latent representation to create a second training input signal for classifier training.

Another significant patent is the "Device and method for ascertaining a physical property of a physical object." This method utilizes an event-based sensor to detect sensor data about a physical object at various input points in time. The data is processed through a pulsed neural network and a non-pulsed neural network to ascertain the physical properties of the object.

Career Highlights

Thomas Pfeil is currently employed at Robert Bosch GmbH, where he applies his expertise in innovative technologies. His work at Bosch has allowed him to develop cutting-edge solutions that enhance the capabilities of machine learning and sensor applications.

Collaborations

Pfeil collaborates with talented individuals such as Manuel Nonnenmacher and David Reeb. These partnerships contribute to the advancement of their projects and foster a collaborative environment for innovation.

Conclusion

Thomas Pfeil is a distinguished inventor whose work in classifier training and physical property assessment has made a significant impact in technology. His contributions continue to shape the future of machine learning and sensor technology.

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