Yamanashi, Japan

Kanta Takayama


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Kanta Takayama: Innovator in Machine Learning Technology

Introduction

Kanta Takayama is a prominent inventor based in Yamanashi, Japan. She has made significant contributions to the field of machine learning, particularly in the development of devices that enhance the functionality of machine tools. Her innovative approach has led to the creation of a patented technology that addresses critical issues in manufacturing processes.

Latest Patents

Kanta Takayama holds a patent for a machine learning device, numerical control device, and machine learning method for learning the threshold value of detecting abnormal load. This invention is designed to improve the detection of abnormal loads in machine tools. The device includes a state observation unit that monitors various parameters, such as the tool's information, main spindle revolution rate, coolant amount, workpiece material, moving direction, cutting speed, and cut depth. The learning unit utilizes training data from the state observation unit's output and related detection data to learn the threshold value for identifying abnormal loads.

Career Highlights

Kanta Takayama is currently employed at Fanuc Corporation, a leading company in automation and robotics. Her work at Fanuc has allowed her to apply her innovative ideas in a practical setting, contributing to advancements in machine learning and automation technologies. With her expertise, she has played a vital role in enhancing the efficiency and reliability of manufacturing processes.

Collaborations

Kanta has collaborated with notable colleagues, including Kazuo Sato and Hideaki Maeda. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Kanta Takayama is a trailblazer in the field of machine learning, with her patented technology poised to revolutionize the way abnormal loads are detected in machine tools. Her contributions to Fanuc Corporation and her collaborations with esteemed colleagues highlight her commitment to innovation and excellence in engineering.

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