Researchers at King Abdullah University of Science and Technology (KAUST) have developed a novel authentication technology that enables digital devices to verify their identity using unique physical characteristics embedded in their hardware. Published in Nature Electronics, the system generates distinctive digital fingerprints through tiny laser devices, with no two lasers producing exactly the same light pattern. By combining these hardware fingerprints with artificial intelligence, the technology can rapidly and accurately authenticate devices while consuming minimal energy. The innovation could strengthen security across cloud computing, AI infrastructure, and large-scale networks of connected devices, offering a potential alternative to conventional password- and key-based authentication methods. Researchers are now exploring how the technology can be integrated into future computing and communications systems.

Biohub scientists performed the first genome-wide CRISPR screen in primary human skin cells, used an AI novelty filter to surface unexpected drug targets for psoriasis (including the oxytocin receptor) and showed that topical gels reduced inflammation in mice as effectively as injectable biologic therapy. 

A research team at The Hong Kong Polytechnic University (PolyU) has successfully developed Hong Kong’s first “AI Agent for Precision Diabetes Management – PIPE-AI” (AI Agent), designed specifically for Asian populations, together with a related disease risk prediction model. Leveraging artificial intelligence (AI) and large-scale local electronic health data, the system can more accurately predict the risk of deterioration of complications such as chronic kidney disease in patients with type 2 diabetes over the next 10 years, enabling healthcare professionals and patients to intervene early and improve disease management. The research findings have been published in the leading international journal npj Digital Medicine.