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FY2025: Reward Processing in Interpersonal Emotion Regulation
- Motoaki Sugiura (Institute of Development, Aging and Cancer)
HOME
Sciences and Technologies of Quality and Value of Information
“Quali-Informatics in the society
with yotta scale data”
ABOUT US
Sciences and Technologies of Quality and Value of Information
Accumulation of information is essential for human knowledge production, and information technology has accelerated the speed of data accumulation. The total data generated within a year is predicted to be more than 1 Yottabytes in 2030, which is much larger than the total storage available at that time. This is a big problem because most of data generated have to be discarded soon after generation with little contribution to knowledge production.
There is another critical problem of the increase in quantity of information with high speed, which is called information overload. Decision accuracy decrease with amount of information beyond a certain point while it increases at the beginning. We create sciences of quality and value of information to solve these problems.
RESEARCH
New information science and technology research combining the humanities and sciences
Establishing a pioneering area of science combining information “quantity” and “quality”, we aim at creating the basis of future ICT technology to extract values and knowledge from enormous volumes of information, which is estimated to expand to more than 1000 times as the current volume and to exceed a yottabyte (one trillion times one trillion: 10^24) within15 years from now.
PROJECTS
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FY2025: Neuroscientific Evaluation of AI-Assisted English Learning
- Chunlin Liu (Center for Applied Cognitive Neuroscience)
MEMBERS
Meet the Scientists
Information science and technology, including big data, the cloud and the IoT (Internet of Things), has been changing our life and society. We, AI So-Go-Chi; Advanced Institute for AI So-Go-Chi Informatics, attempt to establish a novel interdisciplinary academic field for quality and quantity of information, in order to obtain significant values and knowledge extracted from large amounts of information. To this purpose, we are having an interdisciplinary approach by under-one-roof style formation to encourage interaction and knowledge integration among sciences, engineering, social sciences and humanities. We are thus creating a platform for emergence of wisdom and breakthrough of ICT in the future.
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- Director
- Shuichi SakamotoProfessor
- Research Institute of Electrical Communication
REPORTS
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Elucidating the Value-processing and Information-integration Mechanisms of the Reward System in Interpersonal Emotion Regulation
2026.07.07
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Neuroscientific Verification of the Educational Effects of English Conversation Training Using Generative Language AI
2026.07.06
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Development of Trustworthy and Human-Centered AI through Knowledge Representation, Machine Learning, and Evaluation
2026.06.02