News List (2023)
posted on June 19, 2023 15:24Information
12 students from Nanyang Technological University visited RIKEN AIP.
Agenda
■Date & Time: 15:00-17:00, Friday, June 16, 2023
■Venue: AIP Center
■Agenda:
- Welcoming Remarks -
15:00-15:15 Prof. Masashi Sugi...
posted on June 19, 2023 08:38Information
Tomasz Rutkowski, Research Scientist of the Cognitive Behavioral Assistive Technology Team at RIKEN AIP has published a research paper titled “Machine Learning Approach for Early Onset Dementia Neurobiomarker Using EE...
An interview with Shoko Suzuki, Senior Visiting Scientist of the Decentralized Big Data Team was published in Kyoto Shinbun.
In the interview, Dr. Suzuki explained how to interact with AI technologies.
*The arti...
posted on June 14, 2023 18:12Information
Takuya Sekiguchi, Research Scientist of the Cognitive Behavioral Assistive Technology Team at RIKEN AIP has published a research paper titled “Time-orientations of older adults in group conversations and their associa...
NEC Corporation (NEC), RIKEN, and Nippon Medical School have collaborated with multiple university hospitals to advance research on the integration of electronic medical records (EMRs) and AI technology in the medical...
posted on June 9, 2023 16:14Information
This event was held in Japanese.
posted on June 8, 2023 14:24Information
Director of AIP Center, Masashi Sugiyama gave an invited talk at the 37th Annual Conference of the Japanese Society for Artificial Intelligence, 2023 on June 8.
For more information, please see the JSAI Web.
posted on June 6, 2023 20:07Information
Kentaro Inui, Team Leader of the Natural Language Understanding Team contributed an article to the Associatin for Natural Language Processing.
*The article is found at the link below.
The Associatin for Natural La...
posted on May 30, 2023 16:16Information
Osamu Sakura, Team Leader of the Science, Technology and Society Team contributed an article to Nikkei. This article titled “The Impact of Generative AI on Education” was published in the morning edition of Nikkei on ...
A research paper, entitled "A machine learning-based prediction of crystal orientations for multicrystalline materials" was published in n APL Machine Learning.
Authors:
Kyoka Hara,Takuto Kojima, Kentaro Kutsukake...