Fujitsu Limited and Tokai National Higher Education and Research System (THERS) today announced the successful development of a new technology to predict solar radiation events [1] and their potential impact. The new technology combines probability estimation and the identification of past similar events based on Fujitsu’s Wide Learning explainable AI technology which is part of the Fujitsu Kozuchi XAI service. 

Solar radiation events have been difficult to predict using simple empirical methods based solely on solar flare magnitude. By leveraging AI, this technology extracts complex causal relationships and presents them in an explainable manner. Furthermore, by presenting past solar radiation events similar to those predicted, based on the extracted conditions, it allows for a comprehensive understanding of the actual impact on daily life and corresponding countermeasures that were implemented during those previous events.

With this new technology, Fujitsu and THERS aim to establish an environment for promptly determining future solar radiation risks and countermeasures based on scientific evidence, thereby facilitating optimal operational decisions regarding possible lethal threats to astronauts in activities like extravehicular operations, lunar base planning, and crewed transport for lunar and Martian missions.

Moving forward, Fujitsu and THERS will enhance the developed technology to protect vulnerable societal infrastructure including power grids, satellite communications, GPS, and polar flights from space weather impacts, thereby showcasing the efficacy of Fujitsu’s Wide Learning and positioning it as a foundational technology for a sustainable and resilient society.