This inventor holds 6 USPTO granted patents and 2 published patent applications and 2 EPO patents. Top assignees: Siemens Aktiengesellschaft, Toyota Research Institute, Inc., Woven Planet North America, Inc.. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Kirchseeon, DE (2022)
- San Francisco, CA (US) (2023)
Company Filing History:


Years Active: 2022-2023
Title: The Innovative Contributions of Sergey Zakharov
Introduction
Sergey Zakharov, an accomplished inventor based in Kirchseeon, Germany, is known for his significant contributions to the fields of technology and artificial intelligence. He holds a total of six patents, showcasing his ability to innovate and solve complex challenges in real-world applications.
Latest Patents
Among Sergey’s most recent patents is a system and method for training an adapter network to improve transferability to real-world datasets. This invention details a processor and memory system that employs a neural network to predict scenes, generate rendered maps of objects, and train adapter networks to adjust for deformations in input images. Another noteworthy patent involves 3D auto-labeling with structural and physical constraints, which focuses on refining object-seeds and creating trajectories for vehicles within a 3D scene, all while adhering to specific constraints.
Career Highlights
Throughout his career, Sergey has worked with prominent organizations such as Siemens AG and Toyota Research Institute. His experience in these respected companies has greatly influenced his innovative spirit and technical expertise.
Collaborations
Sergey has collaborated with talented individuals, including Slobodan Ilic and Wadim Kehl. These collaborations have enriched his work and contributed to the development of his patents.
Conclusion
In conclusion, Sergey Zakharov is a notable inventor whose patents reflect a deep understanding of technology's complexities. His contributions have the potential to enhance various systems, particularly in training artificial intelligence to better interpret and interact with the real world.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile