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Quality Assurance of Machine Learning Systems

QAML, Inc.

Message from CEO

 We are aiming to the world where AI engineers can use techniques and tools for value improvement and quality assuracne of AI systems and publish them with confidence, resulting to make everyone happy. QAML, Inc. is launched to create crosslink among research and practice on machine learning system development. We have contributed to establish and expand the research community (JSSST MLSE: Special Interest Group on Machine Learning Systems Engineering) relevant with engineering techniques for developing machine learning systems. As its concrete research project, we have promoted "Engineeable AI" (a.k.a. "eAI") in a schema of the JST-Miral Program. Our mission is to implement its results and future achievements in a society, and then AI engineers will be able to create AI systems to make a society more fruitiful.

Nobukazu Yoshioka, CEO

Services

To make a society better, QAML Inc. supports value creation and quality assurance of your machine learning-based AI systems by using our machine learning engineering techniques.

R&D

Provide tool based on feasible "machine learning engineering" techniques for ML/AI systems development.

AI Systems Dev

Develop ML/AI systems by using our machine learning engineering techniques.

Consulting

Provide technical support to develop AI systems and introduce machine learning engineering techniques.

Education

Provide education and develop teaching materials to introduce machine learning engineering techniques.

About

Company Name QAML, Inc. (kˈæm(ə)l)
Logo
Derivation

QAML is an abbreviation of "Quality Assurance of Mchine Leaning systems", mearning quality assurance of AI systems with machine learning. A bactrian camel on our logo represents combination of machine learning and software engineering techniques and a rainbow on its background indicates our action of crosslink among research on machine learning engineering and a society.
Business Objective
  1. Research and development of computer systems and software
  2. Analysis, design, implementation, verification, and maintenance of computer systems and software
  3. Consultation on computer systems and software
  4. Education and teaching material development on computer systems and software
Main Products A quality analysis and repair tool of trained ML/DL models
Location Resona Kudan Bldg. 5F, 1-5-6, Kudan-Minami, Chiyoda, Tokyo 102-0074, Tokyo, Japan
Capital 3,000,000 JPY
Foundation April 3rd, 2023
Contact contact@qaml.co.jp

CEO's Career

Nobukazu Yoshioka, Ph.D.

Representative Director CEO, QAML Inc.

Senior Researcher/ Professor by special appointment, Waseda Research Institute for Science and Engineering

  • 1998-2002: Worked to development software agent technologies related to information search at R&D center of TOSHIBA CORPORATION. The results were press-released in the Yomiuri Shimbun, the Asahi Shimbun, etc.
  • 2002-2021: Worked to research and develop techniques relavant to agent, cloud, security, machine learning engineering, etc at National Institute of Informatics (NII), Japan. As one of key members of the smartive project to realize free and secure contents distribution by using Agent technologies, its feasibility experiments were press-released in Asahi Shimbun, NIKKEI BUSINESS DAILY, The Nikkan Kogyo Shimbun, etc.
  • 2004-2021: Worked as a committee for planning and operating the TopSE program at NII to provide software engineering education for young engineer in companiesm and teached design and verification methods as a lecturer. From 2004 to 2007, worked as an assistant professor, and then an associate professor from 2007 to 2021.
  • 2007-2021: Worked as an associate professor in The Graduate University for Advanced Studies and supervised Ph.D. students in themes related with technologies of agent, cloud, security, etc. and took charge of lectures in security.
  • 2012-2020: Worked to produce IT talents throuhg practical software engineering education in information-related universityies around Japan as a secretariat in Education Network for Practical Information Technologies (enPiT) and greatly contributed to its spread.。
  • 2017-currently: working for planning and operating the Smart Systems and Services innovative professional Education program (SmartSE) as a committee at Waseda Universiry in addition to teaching machine learning engeering as a lecturer.
  • 2016-2017: Worked on security software engineering as a Visiting Researcher at Open University, UK and the Science Foundation Ireland Research Centre for Software (Lero).
  • 2018-currently: Worked to research quality improvement of machine learning-based systems as a leader of a project "Value Creation by Reliable Machine Learning-based Systems" accepted in the "Super Smart Society (Society 5.0)" mission area of the JST-Miral Program. From 2020, working to develop machine learning engineering techniques as a leader of the "Engineerable AI Techniques for Practical Applications of High-Quality Machine Learning-based Systems" project.
  • 2021-currently: Working on machine learning engineering, software engineering, security software engieeing, etc. as a Senior Researcher/ Professor by special appointment, Waseda Research Institute for Science and Engineering