An Osaka Metropolitan University researcher quantitatively evaluated the optimal approach for a tomato harvesting robot using image recognition and statistical analysis to maximize the success rate of fruit picking.

A joint research team led by Dr. Gyujin Song of the Korea Institute of Energy Research (President: Yi, Chang-Keun, hereafter “KIER”), Dr. Kwon-Hyung Lee of the University of Cambridge, and Professor Tae-Hee Kim of the University of Ulsan has successfully developed a new dry-process manufacturing technology for secondary battery electrodes that overcomes the limitations of conventional electrode fabrication processes.

A cross-disciplinary research team led by Professor Hongjie DAI (Sapientia Eminence Professor, Chair Professor in Department of Chemistry, Department of Mechanical Engineering and School of Biomedical Sciences, Director of The Materials Institute of Life Sciences and Energy (MILES)) and Professor Simon Ying Kit LAW (Chairperson and Cheung Kung-Hai Professor in Gastrointestinal Surgery, Chair Professor in Department of Surgery, the School of Clinical Medicine, HKUMed) at The University of Hong Kong (HKU) has, for the first time, successfully applied NIR-II (1000–3000 nm) fluorescence video imaging during esophagectomy – a complex surgical procedure involving the resection of a diseased or cancerous portion of the esophagus, where the most dreaded complication, anastomotic leakage, a gastrointestinal defect at the suture line between the esophagus and the gastric conduit, affects 10-30% of patients and leads to high postoperative morbidity rate and even death. In Hong Kong, about 30 patients have already benefited from esophagectomy performed with the aid of this new fluorescence imaging and video analysis technique, with highly promising outcomes to date.

Professor Max Shen, Vice-President and Pro-Vice-Chancellor (Research) at The University of Hong Kong (HKU), has been elected as an International Member of the Chinese Academy of Engineering (CAE) in recognition of his remarkable contributions to the fields of artificial intelligence and supply chain optimisation.

As artificial intelligence (AI) and smart gadgets become more common, our need for reliable power sources grows. Renewable energy options like solar and wind are great, but they depend on specific conditions. A research team led by Professor Dong-Myeong Shin from the Department of Mechanical Engineering at the University of Hong Kong (HKU) has developed a novel moisture-activated electricity generator (MEG) that offers a fresh, eco-friendly way to generate electricity — just from moisture in the air.

Funded by the Hong Kong SAR Government’s Public Policy Research (PPR) Funding Scheme, the University of Hong Kong’s Department of Real Estate and Construction has completed a study on the relics of the territory’s pillboxes (PBs), constructed by both its defenders and invaders during World War II (WWII).  The research team found that many hill paths leading to these historical sites have disappeared for various reasons, thereby hindering access for prospective visitors.  This has resulted in a significant waste of potential tourism and educational resources.

A global collaboration including Sunwoda, Chery, Nobel laureate M. Stanley Whittingham, Semitronix, the University of Delaware, and Advance Power, has proposed the "Integrated Battery Large Model," the first AI-driven paradigm covering the entire lithium-ion battery lifecycle. Published in National Science Open, the work outlines a new paradigm for intelligent battery design, manufacturing optimization, defect diagnosis, and lifecycle management through multi-modal AI and simulation synergy.