This inventor holds 1 USPTO granted patent. Top assignee: Apple Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Innovations by Tobias Martin Gindele
Introduction
Tobias Martin Gindele is an innovative inventor based in Pforzheim, Germany. He has made significant contributions to the field of machine learning and vehicle technology. His work focuses on enhancing the capabilities of vehicles through advanced neural network training.
Latest Patents
One of Tobias Gindele's notable patents is titled "Generating environmental input encoding for training neural networks." This patent involves creating an encoding of an environment for operating vehicles. It combines representations of moving entities with a graph representation of static infrastructure elements. The encoding, along with observations of the environment state, is used to train a machine learning model. This model produces a probabilistic representation of predicted states of the environment. A trained version of this model is then stored and deployed in vehicles to assist in planning and controlling their movements. He holds 1 patent.
Career Highlights
Tobias Gindele is currently employed at Apple Inc., where he continues to develop innovative solutions in technology. His work is instrumental in advancing the integration of machine learning in vehicle systems.
Collaborations
He collaborates with talented individuals such as Moises Goldszmidt and Juergen Wiest, contributing to a dynamic and innovative work environment.
Conclusion
Tobias Martin Gindele's contributions to the field of vehicle technology and machine learning exemplify the impact of innovative thinking in modern engineering. His work continues to pave the way for advancements in how vehicles interact with their environments.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
