Yokohama, Japan

Tadashi Ikehara


Average Co-Inventor Count = 1.5

ph-index = 2

Forward Citations = 13(Granted Patents)


Location History:

  • Yokohama, JP (1994)
  • Kanagawa, JP (1996)

Company Filing History:


Years Active: 1994-1996

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2 patents (USPTO):Explore Patents

Title: Innovations of Tadashi Ikehara

Introduction

Tadashi Ikehara is a notable inventor based in Yokohama, Japan. He has made significant contributions to the field of nuclear technology and artificial intelligence. With a total of 2 patents, his work reflects a commitment to advancing technology for practical applications.

Latest Patents

Ikehara's latest patents include a novel nuclear fuel containing gadolinium. This invention is designed to serve as a burnable poison in nuclear fuel, featuring a unique isotopic composition. The gadolinium is adapted such that the content of at least one even mass numbered isotope is smaller than that found in natural gadolinium. Additionally, he has developed a fuel assembly with a lattice arrangement of nuclear fuel rods, where at least one rod contains the gadolinium burnable poison. His second patent focuses on a neural network pattern recognition learning method. This method utilizes a neural network with an input layer, output layer, and an intermediate layer to effectively map input vectors to their correct attributes.

Career Highlights

Tadashi Ikehara is associated with Kabushiki Kaisha Toshiba, a leading company in technology and innovation. His work at Toshiba has allowed him to explore and develop groundbreaking technologies that have the potential to impact various industries.

Collaborations

Ikehara has collaborated with notable coworkers such as Kazuki Hida and Koichi Nittoh. Their combined expertise has contributed to the successful development of innovative technologies.

Conclusion

Tadashi Ikehara's contributions to nuclear technology and artificial intelligence demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex scientific principles and their applications in real-world scenarios.

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