Tokyo, Japan

Julien Kloetzer

USPTO Granted Patents = 6 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019-2024

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6 patents (USPTO):Explore Patents

Title: Innovations of Julien Kloetzer in Question-Answering Systems

Introduction

Julien Kloetzer is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of artificial intelligence, particularly in the development of advanced question-answering systems. With a total of 6 patents to his name, Kloetzer's work focuses on enhancing the capabilities of machines to understand and process human language.

Latest Patents

Among his latest patents is the "Answer classifier and representation generator for question-answering system using GAN." This innovative program trains a representation generator that classifies whether a passage is related to an answer. It operates through a generative adversarial network (GAN) that maximizes the error determination of fake representations while minimizing that of real representations. Another notable patent is the "Causality recognizing apparatus and computer program therefor." This apparatus generates candidate vectors and context vectors to determine causality between noun-phrases in cause and effect scenarios, utilizing a multicolumn convolutional neural network for accurate analysis.

Career Highlights

Julien Kloetzer is currently employed at the National Institute of Information and Communications Technology, Incorporated. His work at this esteemed institution allows him to collaborate with leading experts in the field and contribute to groundbreaking research in information technology and communications.

Collaborations

Kloetzer has worked alongside notable colleagues such as Kentaro Torisawa and Jonghoon Oh. Their combined expertise fosters an environment of innovation and creativity, leading to advancements in artificial intelligence and machine learning.

Conclusion

Julien Kloetzer's contributions to the field of question-answering systems exemplify the impact of innovative thinking in technology. His patents reflect a commitment to enhancing machine understanding of human language, paving the way for future advancements in artificial intelligence.

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