Series of webinars: Part 2: "AI Research in Japan: Challenges at RIKEN Center for Advance Intelligence Project" by Dr. Masashi Sugiyama (RIKEN/The University of Tokyo)
2021/10/5
The Embassy of Japan will organize a series of three webinars in October in collaboration with the University of Luxembourg.
We are pleased to announce that the second of the series, a lecture by Dr. Masashi Sugiyama (RIKEN/The University of Tokyo) will take place on 13 October. Please find the details below.
We invite you to register on the following URL :
Registration : https://forms.gle/kpHkg3ETqejeDKgq7
(Event free of charge)
Date/Hour : Wednesday 13 October, 13:15 - 14:45 (UTC+2)
Lecturer : Dr. Masashi Sugiyama, Director, RIKEN Center for Advanced Intelligence Project and Professor, The University of Tokyo.
Theme : AI Research in Japan: Challenges at RIKEN Center for Advance Intelligence Project
Language : English
Format : Cisco Webex
Abstract :
RIKEN Center for Advanced Intelligence Project (AIP) was founded in
2016 as the research center for the 10-year AIP project under Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.
At RIKEN-AIP, we are tackling the following 5 activities:
- Develop next-generation AI technology (learning and optimization theory)
- Accelerate scientific research (material, cancer, stem cells, genomics)
- Solve socially critical problems (natural disaster, elderly healthcare)
- Study of ethical, legal and social issues of AI (ethical guideline, privacy protection)
- Human resource development (researchers, interns, visiting scientists, and industrial projects) In this talk, I will give an overview of our recent achievement and challenges.
Biography:
Masashi Sugiyama was born in Osaka, Japan, in 1974. He received the degrees of Bachelor of Engineering, Master of Engineering, and Doctor of Engineering in Computer Science from Tokyo Institute of Technology, Japan in 1997, 1999, and 2001, respectively. In 2001, he was appointed Assistant Professor in the same institute, and he was promoted to Associate Professor in 2003. He moved to the University of Tokyo as Professor in 2014. Since 2016, he has concurrently served as Director of RIKEN Center for Advanced Intelligence Project. He received an Alexander von Humboldt Foundation Research Fellowship and researched at Fraunhofer Institute, Berlin, Germany, from 2003 to 2004. In 2006, he received European Commission Program Erasmus Mundus Scholarship and researched at the University of Edinburgh, Edinburgh, UK. He received the Faculty Award from IBM in 2007 for his contribution to machine learning under non-stationarity, the Nagao Special Researcher Award from the Information Processing Society of Japan in 2011 and the Young Scientists' Prize for the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology Japan in 2014 for his contribution to the density-ratio paradigm of machine learning, and the Japan Society for the Promotion of Science Award and the Japan Academy Medal in 2017 for his series of machine learning research. His research interests include theories and algorithms of machine learning and data mining, and a wide range of applications such as signal processing, image processing, and robot control.
We are pleased to announce that the second of the series, a lecture by Dr. Masashi Sugiyama (RIKEN/The University of Tokyo) will take place on 13 October. Please find the details below.
We invite you to register on the following URL :
Registration : https://forms.gle/kpHkg3ETqejeDKgq7
(Event free of charge)
Date/Hour : Wednesday 13 October, 13:15 - 14:45 (UTC+2)
Lecturer : Dr. Masashi Sugiyama, Director, RIKEN Center for Advanced Intelligence Project and Professor, The University of Tokyo.
Theme : AI Research in Japan: Challenges at RIKEN Center for Advance Intelligence Project
Language : English
Format : Cisco Webex
Abstract :
RIKEN Center for Advanced Intelligence Project (AIP) was founded in
2016 as the research center for the 10-year AIP project under Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.
At RIKEN-AIP, we are tackling the following 5 activities:
- Develop next-generation AI technology (learning and optimization theory)
- Accelerate scientific research (material, cancer, stem cells, genomics)
- Solve socially critical problems (natural disaster, elderly healthcare)
- Study of ethical, legal and social issues of AI (ethical guideline, privacy protection)
- Human resource development (researchers, interns, visiting scientists, and industrial projects) In this talk, I will give an overview of our recent achievement and challenges.
Biography:
Masashi Sugiyama was born in Osaka, Japan, in 1974. He received the degrees of Bachelor of Engineering, Master of Engineering, and Doctor of Engineering in Computer Science from Tokyo Institute of Technology, Japan in 1997, 1999, and 2001, respectively. In 2001, he was appointed Assistant Professor in the same institute, and he was promoted to Associate Professor in 2003. He moved to the University of Tokyo as Professor in 2014. Since 2016, he has concurrently served as Director of RIKEN Center for Advanced Intelligence Project. He received an Alexander von Humboldt Foundation Research Fellowship and researched at Fraunhofer Institute, Berlin, Germany, from 2003 to 2004. In 2006, he received European Commission Program Erasmus Mundus Scholarship and researched at the University of Edinburgh, Edinburgh, UK. He received the Faculty Award from IBM in 2007 for his contribution to machine learning under non-stationarity, the Nagao Special Researcher Award from the Information Processing Society of Japan in 2011 and the Young Scientists' Prize for the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology Japan in 2014 for his contribution to the density-ratio paradigm of machine learning, and the Japan Society for the Promotion of Science Award and the Japan Academy Medal in 2017 for his series of machine learning research. His research interests include theories and algorithms of machine learning and data mining, and a wide range of applications such as signal processing, image processing, and robot control.