China targets new space-based computing network to process data born in orbit

China is advancing its capabilities in space with the unveiling of 'Xingshu,' an ambitious new space-based computing network designed to process vast amounts of satellite data in orbit using artificial intelligence. This initiative aims to revolutionize how data generated in space is handled before being transmitted to Earth.

According to Chi Nan, an optical communications professor at Fudan University, Xingshu, which translates to 'Star Hub,' is planned to eventually consist of approximately 1,000 satellites. Developed jointly by Fudan University and Shanghai Xingshu Tiansuan Space Technology Co., the network will offer on-demand, time-based computing services. This allows governments, researchers, and companies across sectors like energy, shipping, and finance to rent computing power by the hour, as explained by Chi at the World Artificial Intelligence (AI) Conference in Shanghai.

Xingshu's capabilities extend beyond mere data processing. It will integrate satellite observations with AI to deliver a range of critical services. These include enhanced weather forecasting, timely disaster warnings, monitoring of ports and shipping activities, inspections of power grids, and remote-sensing services tailored for emergency responders, meteorological agencies, and natural resource authorities.

This project represents the latest in China's series of innovative space-computing initiatives. It follows previous endeavors such as the Tiansuan constellation, led by the Beijing University of Posts and Telecommunications, which aims for 300 satellites, and Zhejiang Lab's state-backed Three-Body Computing Constellation, envisioned with 1,000 satellites. Tiansuan has already launched eight satellites, and the Three-Body constellation deployed its initial dozen satellites last year, signaling China's rapid progress in space-based technology.

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It would offer on-demand, time-based computing services in orbit, allowing governments, researchers and companies in sectors such as energy, shipping and finance to rent computing power by the hour.