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AI and Patent Practice

 

Hideki Takaishi conducted research in artificial intelligence during his master's studies at Tokyo Institute of Technology. This page brings that technical background together with his patent practice and public materials on AI in intellectual property work.

 

Using case law materials with generative AI

Hideki Takaishi's 論点別 特許裁判例事典 第四版 is available as a PDF. The publisher permits adaptation and use for generative AI training under specified conditions. Sharing conditions differ for corporate and individual users; consult the publisher's terms before use.

Book details and terms of use (Japanese)

 

Hideki Takaishi's articles introducing public lectures

Generative AI prompt-driven reform at Shimadzu's IP department

An article introducing a lecture by Koji Akutsu, covering applications in translation, patent prosecution, organizing inventions and drafting specifications.

Transforming corporate IP with AI agents: from business assistants to strategic partners

An article introducing a lecture by Kosuke Kuriyama, addressing multi-step processing by AI agents and decisions involving human judgment.

These are Hideki Takaishi's articles introducing lectures delivered by the speakers named above.

 

Related materials

Patent practice videos and materials (Japanese) / Contact

Graduate research and related patent

His graduate research is documented in the 1999 paper “Nonlinear Mapping of Geographic Images and Its Network Expression Based on Geometric Features,” coauthored with Naoya Moriya, Keisuke Kameyama and Yukio Kosugi. It appeared in IEICE Technical Report, NC (Neurocomputing), 98(577), pp. 125–132. The bibliographic record lists Hideki Takaishi’s affiliation as the graduate school of Tokyo Institute of Technology. Bibliographic record (J-GLOBAL) · University research record

He is also named as one of six inventors of Japanese Patent No. 4250248 (JP4250248B2), concerning a method and apparatus for extracting changed areas in geographic images. The application was filed on January 29, 1999, and the patent was registered on January 23, 2009. Tokyo Institute of Technology is identified as the patentee in the granted patent publication. Patent record · Original Japanese patent publication (PDF)

This research addressed nonlinear alignment of geographic images and the detection of changes between images taken at different times. These records provide specific examples of his background in image processing and neurocomputing.

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