Tokyo, Japan

Takayuki Umeda

This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Nippon Telegraph and Telephone Corporation. Active years: 2023.

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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2 patents (USPTO):Explore Patents

Title: Takayuki Umeda: Innovator in Model Learning Technologies

Introduction

Takayuki Umeda is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of model learning, focusing on methods and devices that enhance the efficiency and precision of learning processes. With a total of 2 patents, Umeda's work is paving the way for advancements in artificial intelligence and machine learning.

Latest Patents

Umeda's latest patents include a model learning device and method that enable simultaneous learning of multiple tasks and domains. This innovation allows for low-cost and high-precision learning. The learning unit utilizes various encoders and decoders to process data from target and source domains, ensuring that the outputs align with training data. Additionally, he has developed a retrieval apparatus that integrates similarities between images, enhancing the feature extraction process for better learning outcomes.

Career Highlights

Umeda is currently employed at Nippon Telegraph and Telephone Corporation, where he continues to innovate in the field of model learning. His work is characterized by a commitment to improving learning methodologies and technologies, making significant strides in the industry.

Collaborations

Some of Umeda's notable coworkers include Atsushi Sagata and Kazuhiko Murasaki. Their collaborative efforts contribute to the advancement of technologies in model learning and retrieval systems.

Conclusion

Takayuki Umeda is a key figure in the realm of model learning technologies, with a focus on enhancing learning efficiency and precision. His contributions are shaping the future of artificial intelligence and machine learning.

Profile summary based on public USPTO records.
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