Paris, France

Ljubica Cimesa

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ljubica Cimesa. Retrieved from https://idiyas.com/inventor/ljubica-cimesa

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Ljubica Cimesa: Innovator in Neural Network Systems

Introduction

Ljubica Cimesa is a prominent inventor based in Paris, France. She has made significant contributions to the field of neural network systems, showcasing her expertise through her innovative patent.

Latest Patents

Cimesa holds a patent for a "Neural apparatus for a neural network system." This invention is designed to receive one or more input signals during a decode time period, decode these signals, and process the resulting decoded signal using internal neuron dynamics. The processed signal can then be used to encode and emit output signals to another neural apparatus within the neural network system.

Career Highlights

Ljubica Cimesa is associated with the International Business Machines Corporation, commonly known as IBM. Her work at IBM has allowed her to explore and develop advanced technologies in the realm of artificial intelligence and neural networks.

Collaborations

Cimesa has collaborated with notable colleagues, including Stanislaw Andrzej Wozniak and Angeliki Pantazi. These collaborations have further enriched her research and development efforts in the field.

Conclusion

Ljubica Cimesa is a trailblazer in the development of neural network systems, with her innovative patent reflecting her commitment to advancing technology. Her contributions continue to influence the landscape of artificial intelligence.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…