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본 강연에서는 제조 피지컬 AI와 소프트웨어 중심적 공장 (SDF)에 대한 개념과 실제 사례를 소개한다. AI의 물리적 요소를 고려한 시스템을 피지컬 AI라 정의하고 있다. 자율주행 자동차 및 로봇이 피지컬 AI의 대표적인 사례다. 그러나 제조 피지컬 AI는 거대 시스템과 다양한 복합 장비를 다룸으로 그 구성과 운영의 차별성이 필요하다. 이러한 차별점의 핵심이 바로 SDF이다. 소프트웨어 중심적 설계를 통해 공장을 하나의 거대한 AI시스템으로 설계하고 이를 기반으로 자율운영을 가능하게 하는 것이 SDF의 본질이다. 실제 국내 사례를 통해 이들 개념 및 자율공장이 어떻게 구축되었는지 살펴볼 것이다.

2010.08 서울대학교 전기컴퓨터공학부 학사 졸업 2013.02 서울대학교 전기정보공학부 석사 졸업 2017.08 서울대학교 전기정보공학부 박사 졸업 2018~2022: 네이버 AI Lab 연구원 2023~현재: 네이버 AI Lab 연구소장 2022~현재: 서울대학교 AI 연구원 겸임교수

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In information communication technology (ICT) field, wireless body area network (BAN) has a huge potential to create innovation by promoting integrated research and development with cloud networks and data science AI such as integrated BAN/6G/AI platform. A new international standard of WBAN with enhanced dependability, IEEE802.15.6ma has been extended to car and robotic bodies from human body to promote a global social service and business toward goals of SDGs. To achieve the goals it is necessary to approach any other technologies such as data science, metaverse, security, quantum, AI/ML computing, chat GPT, DX, etc. with WBAN. This talk focuses on comprehensive research, development, standard, regulation, field trials, business, and social services of the universal platform with advanced ICT and AI data science to achieve sustainable medical healthcare and other SDGs. 6G infrastructure networks could be applied with dependable WBAN and machine-learning with data mining for medical social platform using interactive reliable data and cognitive control. Particularly some projects on brain-machine-interface (BMI) and elderly people day care using ultra-wide band (UWB) WBAN and multimodal machine-learning with various sensed data are introduced. To manage make comprehensive design and operation of such a universal platform is not so easy but a key for sustainable success. This talk addresses latest business promotion with clinical trials, latest activity of IEEE802 Dependable BAN and ETSI Smart BAN, and regulation update with regulatory scientific approach, and bigger market of the universal platform in automotive industry, social infrastructure maintenance, etc. Moreover, education of such a balanced expert for multidisciplinary fields among data science, ICT, and regulatory science could be covered.

Ryuji Kohno received the Ph.D. degree from the University of Tokyo in 1984. He was a Professor and the Director of Centre on Medical Information and Communication Technology, in Yokohama National University (YNU) in Japan for 1998-2021 and then Professor Emeritus of YNU teaching in Toyo University. In his currier he played a part-time role of a director of Advanced Telecommunications Laboratory of SONY CSL during 1998-2002, directors of UWB Technology and medical ICT institutes of NICT during 2002-2012. For 2012-2020 he was CEO of University of Oulu Research Institute Japan - CWC-Nippon Co. and since 2020 Vice-President of YRP International Alliance Institute. The meanwhile for 2007-2020 a distinguished professor in University of Oulu in Finland and since 2006 a member of the Science Council of Japan. In IEEE he was a member of the Board of Governors of Information Theory Society in 2000-2009, and editors of Transactions on Communications, Information Theory, ITS, IEEE802.15 standardization TG6ma Chair, and IEEE Life Fellow. In IEICE he was a vice-president of Engineering Sciences Society of IEICE during 2004-2005, Editor-in chief of the IEICE Trans. Fundamentals during 2003-2005, and IEICE Fellow. He is a founder and a chair of steering committee of international symposia of medical information and communication technologies (ISMICT) since 2006. He has played a role of member in radio regulatory committee of the Ministry of Internal affairs and Communications (MIC) Japan and ITU-R.