Promoting big data and AI research exploiting supercomputers
Head: Toshiyuki Amagasa
Recently, big data an AI have attracted a great deal of public attention. In big data analysis, we analyze a massive amount of complex data that cannot be processed by ordinary computers, whereas, in AI, we can achieve ultimately highly precise classification or prediction, that cannot be possible by existing technologies, by applying machine learning techniques, such as deep learning, against a massive training data. The mission of the promotion office of big data & AI covers promoting applications of big data/AI technologies to the research activities in the divisions in CCS, promoting big data/AI research exploiting supercomputers and promoting collaborations with the center for artificial intelligence research (C-AIR) and other institutes.
Promoting the application of big data/AI technologies to research divisions in computational sciences
In various scientific areas, it has become very active to apply big data analysis or machine learning techniques to massive data for discovering new knowledge. One of the most well-known examples is bioinformatics. We promote applications of big data/AI techniques to different research domains in computational sciences by the collaboration between the divisions of computational sciences and the divisions related to big data/AI.
Promoting big data/AI research exploiting supercomputers
It is known that substantial computer resources (both CPU and memory) are mandatory to perform big data analysis/AI. For this reason, supercomputers are considered to be one of the most suitable environments for performing big data analysis/AI. Thus, in major supercomputers, the number of such use cases have been growing. We promote to use the supercomputers at CCS in the research activities in big data analysis/AI.
Collaboration with the center for artificial intelligence research (C-AIR) and other institutes
We promote the collaborations with the center for artificial intelligence research (C-AIR) at our university and other institutes concerning the above activities related to big data/AI.
(Update: Dec. 20, 2019)