This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Konrad Ryszard Budzynski: Innovator in Semantic Clustering Technology
Introduction
Konrad Ryszard Budzynski is a notable inventor based in Wrocław, Poland. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the capabilities of processing systems by utilizing semantic clustering techniques.
Latest Patents
Konrad holds a patent titled "Semantic clustering for machine self-learning." This patent describes devices and techniques for semantic clustering and fixing of like-failed processing inputs. In this invention, first embedding data representing a first input is generated. A first cluster of embeddings, including the first embedding data, is created. The second embedding data of the first cluster is then determined. Additionally, first metadata for the first input is established, which is associated with the processing of the first input by the processing system. Second metadata for the second input is also determined, leading to the identification of a first remedial action for processing the first input based on the first and second metadata.
Career Highlights
Konrad is currently employed at Amazon Technologies, Inc., where he continues to develop and refine his innovative ideas. His work at Amazon allows him to collaborate with some of the brightest minds in the industry, contributing to advancements in technology.
Collaborations
Some of his notable coworkers include Sarah Keating Traylor and Carlos Emmanuel Gonzalez Sandoval. Their collaboration fosters a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Konrad Ryszard Budzynski is a pioneering inventor whose work in semantic clustering for machine self-learning is paving the way for advancements in processing systems. His contributions to the field are significant and reflect his dedication to innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
