Yann Lecun

Lincroft, NJ, United States of America

Yann Lecun

This inventor holds 1 USPTO granted patent and 1 published patent application, plus 2 CIPO patents and 1 EPO patent. Top assignee: New York University. Active years: 2016. Education: Pierre and Marie Curie University (France).

Graduated from:
  • Pierre and Marie Curie University (France)
USPTO Granted Patents = 1 

% Patents Active = 100.0


 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Yann Lecun: A Pioneer in Classification Methodologies

Introduction

Yann Lecun is a prominent inventor based in Lincroft, NJ (US). He is known for his significant contributions to the field of classification methodologies, particularly in the context of physiological data analysis. His innovative work has paved the way for advancements in understanding and classifying various states of subjects.

Latest Patents

Lecun holds a patent titled "Method, system, and computer-accessible medium for classification of at least one ICTAL state." This patent describes a comprehensive methodology for receiving physiological data, extracting patterns of features, and classifying states using both spatial and temporal structures. The focus of this invention is on identifying ictal states, which are critical in the medical field.

Career Highlights

Throughout his career, Yann Lecun has worked with esteemed institutions such as New York University and Element Inc. His experience in these organizations has allowed him to collaborate with other experts in the field and contribute to groundbreaking research.

Collaborations

Some of his notable coworkers include Piotr Mirowski and Deepak Madhavan. Their collaborative efforts have further enhanced the impact of Lecun's work in the realm of classification methodologies.

Conclusion

Yann Lecun's innovative contributions to classification methodologies have made a significant impact in the field of physiological data analysis. His patent and collaborations reflect his dedication to advancing technology and understanding complex states.

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