Koichi Nakamura (中村晃一)

• CEO, Idein Inc.

Accounts

• X
• Github
• Qiita
• Linkedin
• Facebook

For speaking and writing requests, please contact koichi@idein.jp.

Career

• 1984 Born
• 2003 Entered the University of Tokyo
• 2010 Department of Computer Science, Graduate School of Information Science and Technology, the University of Tokyo (withdrew in 2015)
  • Research area: theory of optimizing compilers for parallel computing
• April 2015 Founded Idein Inc.
• March 2016 Technical Advisor, DG Lab
• September 2018 Selected as an Arm Innovator
• July 2024 Visiting Professor, Center for Co-Creation Strategy, Tohoku University

Math lectures and materials

• Category theory seminar: Slides Videos
• Mathematics seminar for programmers: Slides Videos
• Pattern Recognition and Machine Learning seminar: Slides Videos
• Natural language processing with machine learning seminar: Slides Videos
• Optimization problems on manifolds: Slides
• Topos theory: Slides

Software

• Amber
  • Creating a language using only assembly language
  • How I built a language implementation using only assembly language (Japanese)
• py-videocore
  • A Python library for GPGPU on the Raspberry Pi
• PlanckForth
  • Bootstraps an interpreter from a hand-written 1 KB binary

Hardware

• Actbulb (a past project at Idein; not for sale)
  • A smart light bulb with a built-in image sensor
  • Circuit design, PCB design, 3D CAD

• PiZero Cluster Board (a past project at Idein; not for sale)
  • Circuit design, PCB design

• PiZero Drone HAT (personal project, in progress; not for sale)
  • Circuit design, PCB design, mechanical design, flight controller

Interviews

• Amateras CEO Interview
• Portraits of Exceptional Engineers (Nikkei xTECH)
  • Users just pick an app: edge AI for about 100 yen a day
  • The “legendary” study group began at the US institute where Einstein once worked
• Forbes JAPAN, January 2019 issue
  • Price disruption in AI and IoT: taking “embedded deep learning” to the world
• Bringing low-cost embedded AI to the world: why Idein chose SAKURA’s “Koukaryoku” (ASCII)
• The Mainichi Shimbun, Tokyo morning edition, August 27, 2018
• Sutakura CEO Interview
• Weekly BCN+
• PR TIMES STORY
• TECHBLITZ Startup Interview
• Sakumaga dialogue: “Taking on a society where AI blends in”
• ZUU online interview
• Shacho Meikan interview
• INTLOOP Ventures special dialogue
• ZUU online interview: “Building a platform in edge AI and aiming for global expansion”
• AMBL COLORS dialogue

Activities

Talks and presentations

• SSII2019
  • Organizer of Organized Session 3, “Accelerating Deep Learning”
• AI/SUM 2019
  • Panel session: How Do AI Startups Solve Societal Issues in Japan
  • Talk: Edge Computing: The key Technology for Social Implementation of AI
• fpgax #11 + TFUG Hardware: a meetup on dedicated DNN hardware
  • Slides: Software techniques for accelerating deep learning inference
• Deloitte Tohmatsu Innovation Summit
  • Panel session on “Augmented intelligence”
• Deep Learning Lab / Inference Night
  • Talk
  • Slides: Introducing Idein
• Deep Learning Acceleration study group
  • Organizer
  • Slides: The mathematics and algorithms of convolution
• Raspberry Fields 2018
  • Talk: Accelerating deep learning inference on Raspberry Pi
• The New Context Conference
  • 2016 Tokyo (talk and panel session), 2017 Tokyo (talk and panel session), 2018 Tokyo (panel session)
• EdgeTech+ 2022
• JETRO × Hello Tomorrow Japan: “Aim for the world with deep tech”
  • Panel session
• ILS2023 Innovation Leaders Summit
• SMART CITY REVERSE PITCH
  • Talk session: cross-sector collaboration cases in the smart city field
• The 21st Expert Committee Seminar, M2M/IoT Study Group
  • Talk: Multimodal LLMs for real-world spaces: technology and business applications
• MWC Barcelona 2025
  • Pitched at the KDDI startup pitch “Meet Japan’s Next Unicorns!”
• “Creating the Future of Manufacturing with AI” online seminar (co-hosted with SAKURA internet)
  • Accelerating Factory DX from the Front Line with Raspberry Pi × Actcast
• Bridal Industry Fair 2025
  • Talk: The latest AI, now being adopted by major convenience stores and train stations, applied to weddings
• Edge AI Initiative 2026
  • Special talk: The front line of edge AI: on-site transformation and value creation with Actcast