#Japan #AI Technology #Tokyo #SCIEN #Yutaka Matsuo

Professor Yutaka Matsuo Joins SCIEN as Technical Advisor

In a significant move to enhance its technological capabilities, SCIEN has appointed Professor Yutaka Matsuo from the University of Tokyo's Graduate School of Engineering as its technical advisor. As a professor with extensive experience in AI and Deep Learning, Matsuo's expertise will help bridge the gap between advanced research and practical applications in the industry.

Background and Objectives

The rapid evolution of cutting-edge technologies, particularly in generative AI, has created an urgent need for effective communication between research findings and real-world implementation. SCIEN aims not only to develop advanced solutions but also to create an environment that allows for continuous learning and improvement based on Key Performance Indicators (KPIs) after implementation. The company's dual focus on contracting and in-house R&D facilitates a thorough approach to problem definition, evaluation, and redesign, ensuring a higher success rate in societal applications.

With Matsuo onboard, SCIEN intends to strengthen several key initiatives:

1. Development of a Research and Development Roadmap: This involves creating a clear action plan that guides the implementation of research outcomes into practical applications.
2. Value Verification Post-Implementation: SCIEN will focus on designing KPIs to evaluate the effectiveness of its technologies and provide ongoing support to enhance the learning cycle.
3. Promotion of Next-Generation Talent: By expanding opportunities for students and young professionals, SCIEN aims to foster the development of future talent in the field.
4. Strengthening Collaborations: Engaging with industry stakeholders, research institutions, and local communities will play a vital role in providing insights and supporting innovation and entrepreneurship.

Comments from the Leaders

Professor Matsuo commented on his new role, stating, “SCIEN efficiently designs comprehensive solutions from research to implementation, continuously validating and learning through real-world KPIs. I am impressed by their thorough approach to defining problems and their commitment to expanding opportunities for students and young professionals. As a technical advisor, I hope to facilitate the accumulation of knowledge and talent in preparation for the next waves of industry advancement.”

Sora Tabata, CEO of SCIEN, also expressed enthusiasm about Matsuo's appointment. “We are honored to welcome Professor Matsuo as our technical advisor. His leadership in machine learning and deep learning, combined with his deep involvement in societal applications and talent development, aligns perfectly with SCIEN’s mission. Guided by his expertise, we will strengthen our technology roadmap, focusing not just on short-term outcomes but also on the long-term accumulation of knowledge and workforce development.”

About Professor Yutaka Matsuo

Yutaka Matsuo boasts an impressive academic background, having graduated from the University of Tokyo’s Faculty of Engineering in 1997 and earning his Ph.D. in 2002. His career highlights include positions at various prestigious institutions, including a research fellowship at Stanford University and numerous accolades for his contributions to the field of artificial intelligence. Notably, Matsuo has served as the president of the Japan Deep Learning Association since 2017 and is recognized for his impactful work in AI, winning several awards for his research.

About SCIEN

SCIEN is dedicated to harnessing the power of science to enrich people's lives and provide real societal value beyond mere technology provision. Based in Bunkyo, Tokyo, SCIEN specializes in developing unique inspection systems and digital automation solutions, focusing on a problem-driven approach that enables gradual implementation processes. This emphasis on understanding challenges deeply contributes to the transformation and value creation in industries like manufacturing.

For more details, you can reach SCIEN through their website at https://scieninc.jp.