Gainesville, FL, United States of America

Juan Claudio Nino

USPTO Granted Patents = 10 

Average Co-Inventor Count = 2.1

ph-index = 3

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2011-2025

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10 patents (USPTO):Explore Patents

Title: Juan Claudio Nino: Innovator in Memristive Networks

Introduction

Juan Claudio Nino is a prominent inventor based in Gainesville, FL (US). He has made significant contributions to the field of deep learning and memristive networks, holding a total of 10 patents. His work focuses on advancing the capabilities of neuromorphic circuits and their applications in artificial intelligence.

Latest Patents

Nino's latest patents include groundbreaking technologies such as "Deep learning in bipartite memristive networks." This patent describes a bipartite memristive network that incorporates nanofibers with a metallic core and a memristive shell. The network is designed with input and output electrodes to facilitate learning and training. Another notable patent is "Learning algorithms for oscillatory memristive neuromorphic circuits," which outlines a learning network comprising neuromorphic circuit nodes. This network utilizes recognition and generative neuron units to implement various deep learning algorithms, enhancing the learning capabilities of the circuits.

Career Highlights

Juan Claudio Nino is affiliated with the University of Florida Research Foundation, Incorporated. His innovative work has positioned him as a key figure in the research community, particularly in the development of advanced learning algorithms and neuromorphic circuits.

Collaborations

Nino has collaborated with notable colleagues such as Jack David Kendall and Franky So. These partnerships have contributed to the advancement of his research and the successful development of his patented technologies.

Conclusion

Juan Claudio Nino is a distinguished inventor whose work in memristive networks and deep learning continues to push the boundaries of technology. His contributions are paving the way for future innovations in artificial intelligence and neuromorphic computing.

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