Yamato Sakino

About me

• Yamato Sakino
• [history]
  I studied Information Science in college and then went on to graduate school. I am currently working on hardware implementations of machine learning methods.
• [intro]
  We are also capable of implementing machine learning models and presenting them externally. For my undergraduate thesis, I conducted a comparison of conventional and proposed methods using multiple performance evaluation tasks with software simulations. This research was presented at the international conference Non-Linear Science Workshop 2021. After entering the master's program, the proposed model was applied to reinforcement learning and its effectiveness was demonstrated. This work was presented at the international conference Neuro2022. Currently, I am working on implementing the FPGA-based model for reinforcement learning and speech recognition applications.
• GitHub

Career

• 2022 - Future University Hakodate - Bachelor
• 2024 - Future University Hakodate - master's degree (Expected)

Like

• Machine Learning・FPGA implementation
• Python/C++/verilog

Qualifications

• Toeic 645

Contact

• g2122028@fun.ac.jp

Achievement

• Web site
• Can you pronounce English?
  • A machine learning model determines how the numbers 0-9 sound when pronounced in English.
• Presentation materials
• 発表資料
• Conference
• Nonlinear Science Workshop on Nonlinear Theory and Its Applications, IEICE 2021
• Neuro2022