A new program “Development and sharing of generative AI models for scientific research” aims to train RIKEN’s experimental/measurement data and paper data to generate hypotheses, experimental plans, etc. Researchers brush up their hypotheses by interacting with AI. First, the policy is to develop for the life/medical science field and the material/physical science field. The development of generative AI is being considered as an eight-year project. The plan is to first make it available to university researchers, with the aim of announcing a prototype of the system in 2024-2025.
In the life and medical science fields, data such as genome, proteomics, and transcriptome are used for learning. RIKEN’s Biodynamics Research Center (BDR) will provide this data and proceed with development in collaboration with RIKEN’s Computational Science Research Center and others. “There is a possibility that BDR will increase or expand its development team in the future,” said a Ministry of Education, Culture, Sports, Science and Technology official.