Fujitsu Limited and the Tokai National Higher Education and Research System (THERS) have developed an advanced technology to forecast solar radiation events, utilizing artificial intelligence to assess potential impacts on society and space missions.
The technology integrates Fujitsu’s Wide Learning explainable AI to estimate probabilities and identify similar past events. This combination allows for detailed understanding of solar radiation impacts, offering insights into necessary countermeasures based on historical data.
Conventionally, solar radiation prediction relied on simple empirical methods focused on solar flare magnitudes. Fujitsu’s AI can extract complex causal relationships to present information in an understandable format, enhancing prediction accuracy.
The new system aims to assess future solar radiation risks, ensuring informed decisions for science-based operational readiness. The technology is pivotal for safeguarding astronauts during space missions and planning future lunar and Martian projects.
Future enhancements will focus on mitigating space weather impacts on crucial infrastructures such as power grids, satellite communications, and GPS systems, thereby contributing to a more resilient society.
This initiative marks a significant step for Fujitsu and positions its Wide Learning technology as a cornerstone for sustainable technological advancements, improving both terrestrial and extraterrestrial operations.
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