With the rapid development of natural resource element change monitoring technology based on remote sensing imagery, improving the accuracy of change polygons and reducing false alarms have become key research topics. Professor Li Yansheng and his team at the School of Remote Sensing and Information Engineering, Wuhan University, proposed an intelligent purification method for natural resource element change polygons based on a remote sensing spatiotemporal knowledge graph. This method effectively reduces false alarm rates while ensuring a high recall rate, thus significantly improving the efficiency of natural resource monitoring. The related research results were published in the Journal of Geo-Information Science.

Targets for universal access, national roadmaps and more affordable and accessible care are vital to help fill the medical oxygen gap affecting more than half of the world’s population, according to a new global report.

From tailored Netflix recommendations to personalised Facebook feeds, artificial intelligence (AI) adeptly serves content that matches our preferences and past behaviours. But while a restaurant tip or two is handy, how comfortable would you be if AI-algorithms were in charge of your medical expert or new hire?

An international group of scholars, including archaeologists from the School of Arts & Sciences, synthesized archaeological evidence in South Asia from 12,000 and 6,000 years ago.