A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference. 

This new imager could one day enable early and precise disease detection, providing critical insights to guide timely and effective treatment.

Researchers from Duke University have developed a novel framework named WildFusion that fuses vision, vibration and touch to enable robots to “sense” and navigate complex outdoor environments much like humans do.

A new AI decision making tool effectively balances various complex trade-offs to recommend ways of maximizing carbon storage, minimizing economic disruptions and helping improve the environment and people’s everyday lives. It uses evolutionary AI, a kind of digital version of biological natural selection, to optimize policies in the face of competing priorities.

Facing a complex and ever-changing international environment, the maritime and shipping industry requires more efficient and precise data collection and analysis technologies to enhance management efficiency. A  research team at The Maritime Data and Sustainable Development Centre (PMDC) at The Hong Kong Polytechnic University (PolyU) has developed a series of innovative artificial intelligence (AI) and big data driven tools, including advanced technology for estimating the supply and demand for typhoon shelter berths in Hong Kong to improve vessel monitoring and emergency response, a shipping data analytics platform that uses the Automatic Identification System (AIS) to assess real-time port congestion index and other maritime statistical indicators, and a trajectory analysis technology to effectively detect illegal fishing activities. These innovations not only provide governments and industry stakeholders with cutting-edge management solutions but also drive the sector’s digital transformation and sustainable development.