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News List (2024)

The Cognitive Behavioral Assistive Technology Team at RIKEN AIP, in collaboration with the Fonobono Research Institute, held an event titled "Aging Creatively—Discussion & Networking Event" on August 20, 2024. The...

Tomasz M. Rutkowski, Research Scientist of the Cognitive Behavioral Assistive Technology Team, gave a lecture at the Career and Leadership Aid Program (CLAP 2024) organized by the IEEE Region 10 Young Professionals at...

The Steering Committee of the Journal of Information Processing (JIP) has selected a paper authored by Terumi Umematsu, Visiting Scientist from the Science, Technology and Society Team (PI:Osamu Sakura) as a Featured ...

On August 19, 2024, a group of students, primarily from the doctoral program at KTH Royal Institute of Technology in Sweden, visited RIKEN AIP. They shared their achievements with the Knowledge Acquisition Team and en...

Different cultures see the world through unique lenses, especially when it comes to colours. Take the Eskimo, for example, who distinguish between 100 types of snow, while others might simply see it as "white stuff." ...

Akinori Tanaka, Senior Research Scientist of the Mathematical Science Team (PI:Kenichi Bannai) received the 29th Outstanding Paper Award by the Physical Society of Japan.
Title: Detection of Phase Transition via Co...

The 2nd RIKEN AIP – SJTU CS Joint Workshop on Machine Learning and Brain-like Intelligence on August 6 and 7, 2024, at the RIKEN AIP office in Tokyo. 59 researchers joined the workshop at the venue and about 50 resear...

In a groundbreaking study, a multinational research team led by Dr. Adnan Sljoka (RIKEN AIP) and Prof. Akio Kitao (Tokyo Tech), in collaboration with Prof. Scott Prosser (University of Toronto), has carried out experi...

A research paper, entitled “Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology”was published in the Scientific Reports.
The research team includes Y...

An interview with Tatsuya Harada, Team Leader of the Machine Intelligence for Medical Engineering Team was published in the “NIKKEI Mobility” issued on May 28.
*The article may be found at the link below.
NIKKEI M...