Munich, Germany

Konstantinos Bobolas


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2009

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1 patent (USPTO):Explore Patents

Title: Innovations of Konstantinos Bobolas

Introduction

Konstantinos Bobolas is an accomplished inventor based in Munich, Germany. He has made significant contributions to the field of computer science, particularly in the area of semantic networks. His innovative approach focuses on enhancing the efficiency of artificial intelligence tasks through advanced computational techniques.

Latest Patents

One of his notable patents is titled "Situation dependent operation of a semantic network machine." This patent describes a computer-implemented network structure that includes a semantic network machine comprised of nodes containing informational contents and links containing relational contents. The relational contents describe the relationships between linked nodes. Some of the nodes are identified as semantic Janus units. These units perform operations based on time-variable states, allowing for efficient management of computational resources. This innovation significantly reduces the amount of data processed by focusing on bundled information, which is particularly useful for tasks such as pattern recognition in medical imaging and satellite imagery.

Career Highlights

Konstantinos Bobolas is currently employed at Definiens AG, a company known for its expertise in image analysis and semantic technology. His work at Definiens AG has allowed him to apply his innovative ideas in practical applications, contributing to advancements in artificial intelligence and machine learning.

Collaborations

Throughout his career, Konstantinos has collaborated with talented individuals such as Maria Athelogou and Renate Binnig. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Konstantinos Bobolas is a visionary inventor whose work in semantic networks and artificial intelligence continues to influence the field. His patent demonstrates a commitment to improving computational efficiency and enhancing the capabilities of technology in various applications.

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