Roaring over long distances is a key behaviour of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative have now published a machine learning approach in the journal “Ecological Informatics” that improves how roaring behaviour can be studied. The algorithm can reliably detect long-distance roaring based solely on acceleration data (ACC) that is recorded by collars – without a microphone and without energy- and storage-intensive audio files. For the first time, such an algorithm works reliably with both male and female lions, and even with mixed signals when lions are walking while roaring.

Older adults and technology haven’t always had the smoothest relationship. From learning to use email to operating smartphones, each new wave has brought fresh challenges and frustrations. Now, mastering QR codes is the latest hurdle.

A research team led by Profs. HUANG Jiacong and GAO Junfeng from the Nanjing Institute of Geography and Limnology of the Chinese Academy of Sciences, together with collaborators from the Institute of Mountain Hazards and Environment and Jiangxi Normal University, has developed a novel high-resolution machine learning model based on a comprehensive national dataset, enabling high-precision prediction and spatial mapping of CO₂ emissions from China’s lakes.

The Hong Kong Polytechnic University (PolyU) and CLP Power Hong Kong Limited (CLP Power) have jointly developed a smart “Generator Inspection Robot”. By integrating robotics with fibre-optic sensing technology for generator inspections, the project overcomes traditional manual inspection limitations, significantly enhancing the efficiency of inspections and operational safety. The project won a Gold Medal and a special prize—Best International Invention & Innovation, from the National Research Council of Thailand—at the 51st International Exhibition of Inventions Geneva. This international recognition testifies to the achievements of PolyU and CLP Power in fostering industry-academia-research collaboration, injecting momentum into Hong Kong’s development in innovative technology and research talent.