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Masanori Akaishi

Masanori Akaishi


  • Bachelor’s Degree in Engineering from The University of Tokyo, Master’s Degree in Engineering (with major in mathematical engineering and information physics) , the Graduate School of Engineering of The University of Tokyo
  • Former Executive IT Specialist, Data and AI Division,
  • Cloud Headquarters, IBM Japan


If you want to know about artificial intelligence, start with mathematics.

When I was a student in the 1980s, the second AI boom was in full swing.At that time, rule-based systems using Lisp and Prolog, called expert systems, were the mainstream. Actually, research on neural networks, which led to today's deep learning, had existed since that time, but it was rather on the sidelines.The second AI boom quickly died down with the common understanding that complex problems in the world could not be solved with a rule-based approach. Therefore, the 30 years that I was in the workforce coincided with the "AI winter" period.

However, in the last few years, the third AI boom has arrived. This time, artificial intelligence is producing new results one after another that were not possible before, and it is clear that this is not just a boom.More surprisingly, " Neural Networks," which were in the sidelines at the time, have become the center of AI technology.To put it simply, neural networks are the culmination of various mathematical techniques.We are now in an era where one cannot talk about artificial intelligence without knowing mathematics.

I have always loved mathematics, and it was against this background that I published a book on the relationship between deep learning and mathematics.Fortunately, it has been very well received, and I have been teaching a class based on this book at our school. If you would like to understand the relationship between AI and mathematics, please take my class and learn mathematics with us.

Responsible Subject

  • Mathematics for Artificial Intelligence

Field of Specialization

  • Machine Learning
  • Deep Learning
  • Mathematical Processing Systems
  • IT System Development
  • Database

Business Performance


Outside the Company

Outside lecturer

  • Special Lecture in Information Engineering, Department of Information and Communications Engineering, Shibaura Institute of Technology, 2012-2014
  • Visiting Professor, Graduate School of Kanazawa Institute of Technology (in charge of "Advanced AI Technology") 2018-2019


  • "Data Analysis and Optimization Using an Integrated Environment in the Cloud: Watson Studio", OR Society, April 2020.
  • "The Use of LETSMath in High School Mathematics: Especially under the New Courses of Study", July 1990, Japan Society for Science Education.
  • "A Prototype of Mathematics Learning Environment and Support System", The 37th Information Processing Society of Japan, September 1988.
  • "An Attempt to Control Arousal Level in Surveillance Work," The 13th Annual Meeting of the Japanese Society for Biofeedback Research, June 1986.


  • "Creating Profitable AI with Python", Nikkei BP, August 6, 2020.
  • "An Introduction to !Python Natural Language Processing for Use in the Workplace," Shoei-sha, Jan. 20, 2020.
  • ”The Fastest Way to Understand the Mathematics of Deep Learning”, Nikkei BP, April 11, 2019.
  • "Getting Started with Machine Learning and Deep Learning with Watson Studio," Rick Telecom, November 26, 2018.

Author of many magazine articles for "Nikkei Linux", "Nikkei Raspy Magazine", etc.