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13:00-15:00
Hitotsubashi hall
NII Activity Report and Keynote
- 13:00-13:20
- Industry, Academia, General
NII Activity Report
KUROHASHI, Sadao Director-General, National Institute of Informatics
Director-general Kurohashi will give his greetings on the occasion of the National Institute of Informatics Open House 2025 and introduce the Institute's initiatives.
- 13:20-13:40
- Industry, Academia, General
keynote
「Adaptation of large language models for the
Japanese healthcare domain」
AIZAWA Akiko Professor / Director, Digital Content and Media Sciences Research Division, NII
Biography
- Akiko Aizawa graduated from the Department of Electronics at the University of Tokyo in 1985 and completed her doctoral studies in electrical engineering in 1990. At present, she is a professor in the Informatics Program at the Graduate University for Advanced Studies (Sokendai)at the National Institute of Informatics, an adjunct professor in the Department of Computer Science at the University of Tokyo. Her research interests include natural language processing and information retrieval. Vice Director of Research and Development Center for Large Language Models, NII.
As large-scale language models trained on massive amounts of web documents are rapidly advancing and becoming widespread in society, research and development of domain adaptation models adapted to specific domains and use cases is actively underway. This talk will introduce our efforts to develop an open and transparent large-scale language model for medical use, with the goal of realizing trustworthy AI for the Japanese healthcare system. In addition, future directions of large-scale language models for the medical domain will be discussed based on recent research trends.
- 13:40-14:00
- Industry, Academia, General
keynote
「Development of a Japanese Large-Scale Multimodal
Model for Medical Applications」
HARADA Tatsuya Professor, Research Center for Advanced Science and Technology, The University of Tokyo
Biography
- March 2001:：
Doctor of Engineering, Graduate School of Engineering, The University of Tokyo - April 2001：
JSPS Research Fellow (PD) - September 2001：
Visiting Researcher, Carnegie Mellon University - December 2001：
Research Associate, Graduate School of Information Science and Technology, The University of Tokyo - April 2013：
Professor, Graduate School of Information Science and Technology, The University of Tokyo - October 2016–present：
Team Leader, RIKEN Center for Advanced Intelligence Project (AIP) - November 2017–present：
Deputy Director, Research Center for Medical Bigdata, National Institute of Informatics - September 2019–present：
Professor, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo
In recent years, the application of large language models (LLMs) in medicine has gained momentum. However, medical diagnosis is not based solely on textual data; it is derived from multiple modalities, including medical images. Therefore, the development of large multimodal models (LMMs) that can comprehensively understand diverse data types and support personalized treatment and diagnosis is crucial. Therefore, under the 2024 Strategic Innovation Promotion Program (SIP) "Integrated Health Care System", we developed a Japanese large-scale multimodal model for medical applications. In this talk, I will present the methodology used in its development and the results achieved.
- 14:00-14:20
- Industry, Academia, General
keynote
「TBA」
IMAI Ken
- 14:20-14:40
- Industry, Academia, General
keynote
「Ethical Legal Social Issues on the Generative AI
in Medicine」
KODAMA Yasushi
Lawyer at Shinsei Sogo Law
Offices
Visiting Professor at Hitotsubashi University,ROIS and Jichi Medical
University
Biography
- Tokyo University Law Department, graduated in 1983, Passed the Japanese Bar Examination in 1988, NIigata University Medical School, graduated in 1991, University of Chicago, the Law School LL.M (Fulbright Scholarship), worked at Sidley & Austin (Chicago) and Barlow Lyde & Gilbert(London), Special Professor at Univercity of Tokyo, Graduate school of Medicine(2004-2015), Director of the National Cancer Center(2015-2023),Chair at the Adovisory Committee on the Intellectural property and Ethics at the Japanese Government Cabinet Office Strategic Innovation Programme, etc.
When implementing generative AI in the medical field, several issues arise, including the development and expansion of data infrastructure in healthcare, the protection of personal information, and the scope of existing copyright laws. In the EU, efforts are underway to interconnect national healthcare databases to form the European Health Data Space (EHDS), and the EU AI Act fosters the development of medical AI through regulatory sandboxes. Furthermore, bridging academic research and real-world application requires innovation in ethical review processes for current medical research and coordination with relevant laws such as the Clinical Research Act. In relation to regulations under the Pharmaceuticals and Medical Devices Act, new regulatory frameworks for medical devices—such as the FDA's Total Product Life Cycle Approach—are being proposed and implemented to accommodate the evolving characteristics of AI through its use. This presentation introduces the current global landscape of rapid innovation in regulatory frameworks.
online broadcast
No ticket is required. You can watch the live webcast on the online webcast page.
16:00-17:00
Small Meeting Room
Industry-Government-Academia Collaboration Seminar
- 16:00-17:00
- Industry, Academia
「Spatial Audio Processing Technology for Creating Comfortable Sound Environment」
The National Institute of Informatics (NII) is dedicated to research in the field of informatics and information infrastructure projects, with a focus on promoting practical research and development to address societal challenges. Collaboration among industry, government, and academia is essential to achieve these goals. To further strengthen this collaboration, NII continuously shares the research results of its diverse researchers and the issues they are tackling with industry and government.
Sound is an essential medium in our daily lives. However, sound propagating through space is difficult to control and often causes discomfort. In particular, environmental noise, such as traffic noise, is known to cause significant health problems and remains a difficult social problem to solve. The NII Koyama's laboratory is conducting research on signal processing and machine learning techniques for predicting and controlling spatial sound. We are also conducting joint research with NTT on spatial active noise control technology, which is one of the applications of these techniques, under a comprehensive partnership agreement. In this seminar, researchers from both NTT and NII will present the latest developments in this joint research.
Comprehensive Collaboration between NTT and NII: Past and Future
NTT and NII have signed a comprehensive collaboration agreement for many years and have promoted various joint research projects under this framework. In this talk, we will introduce the achievements obtained so far and discuss future prospects including expectation for NII.
Tetsuomi Sogawa
Senior Vice President,
Basic and Advanced Research Principal,
NTT Science and Core Technology Laboratory Group
Spatial Noise Cancellation Technology for Creating 3D Quiet Space
Noise cancelling technology is a technology that cancels noise using loudspeaker signals, and is used in earphones and ducts. However, when conventional technology is applied in three-dimensional space, the area where noise can be effectively canceled is extremely limited. In this talk, we will introduce our research on spatial noise cancellation technology, which is based on the prediction and control of spatial sound.
KOYAMA Shoichi Digital Content and Media Sciences Research Division, Associate Professor
Towards practical application of open-ear noise cancelling technology
We have devised the concept of the ultimate personal sound space: the Personalized Sound Zone, and are working on the development of technology that will make it possible to “not hear sounds you don't want to hear without blocking your ears”. In this joint research, we are taking on the challenge of implementing a spatial sound system using spatial noise cancellation technology being worked on by Prof. Koyama, and in this talk we will introduce the current status of this work.
Hiroaki Ito
Senior Research Engineer
NTT Computer and Data Science Laboratories,
Media Computing Laboratory,
Ultra-Reality Computing Group
online broadcast
No ticket is required. You can watch the live webcast on the online webcast page.
18:00-19:00
Small Meeting Room
Graduate School Information Session
- Industry, Academia, General, Sudents
The Graduate University for Advanced Studies will hold an information session on the entrance examination for the Informatics Program, including application procedures and introduction of student life by current students.
Program(TBA)
- 18:00
-
Opening and overview of the Informatics Program
TAKEDA, Hideaki
Chair, Informatics Program
Professor
- 18:25
-
Application Process
SUGIYAMA, Mahito
Associate Professor
- 18:50
- Introduction to Student Life
*Schedules are subject to change.
online broadcast
No ticket is required. You can watch the live webcast on the online webcast page.
18:30-20:00
Hitotsubashi hall
NII Research 100 rounds
- Industry, Academia, General, Students
In "NII Research 100 rounds" researchers will talk in seven and a half minutes about research topics that would normally take a long time to discuss in depth. Ten researchers will each introduce ten projects, delivering a total of 100 discoveries in a short space of time. This unique format is a rare opportunity to get a glimpse of the passion and individuality of researchers. Through the diverse research at NII, you can encounter new discoveries and interesting research that you would not normally see.
Host
director of the Japan Association for the Promotion of Science (JAAS)
visiting associate professor at Tokyo University of Technology
visiting researcher at the University of Tokyo
A researcher of both science and humanities. A lecturer at a science university, he does stand-up comedy shows on science and SDGs, and does live comedy experiments. He is also active in science radio, which has been ranked in the top three in the science category in Japan for three consecutive years. Received the Science Agora Award from the Japan Science and Technology Agency, among others.
Speakers
online broadcast
No ticket is required. You can watch the live webcast on the online webcast page.
NII Research 100 rounds will also be available to watch on Niconico Live
Broadcast!
11:00-13:00 / 15:00-18:00
Medium Conference Hall
Demo & Poster Sessions
- Industry, Academia, General, Students
The Demo and Poster Sessions will feature research presentations by researchers and
graduate students from the National Institute of Informatics. This year, the medium
conference hall on the second floor of the Hitotsubashi Hall will be the real venue,
with demos and posters displayed at each of the booths. During the core time,
researchers will be available to explain and ask questions.
*There will be no online
broadcast
