Bioinspired inventions have led to innovations in more energy-efficient, low-latency, and memory-optimised sensory AI systems.   Study conducted by Prof. Yang CHAI and his research team   Sensory AI are artificial intelligence systems that aim...

  An energy-saving approach to train and sample smaller models that evolve into comprehensive GenAI.   Study conducted by Prof. Hongxia YANG and her research team   Generative Artificial Intelligence (GenAI), a class of AI systems designated to...

  A deep-learning-based method with appearance embedding and multi-view photometric consistency aims to reconstruct highly detailed shape models of asteroids under various environmental illumination conditions.   Study conducted by Prof. Bo WU and...

  The advancement of artificial intelligence (AI) has ushered in a new era of automated robotics that are adaptive to their environments.   Study conducted by Prof. Dan ZHANG and his research team   The field of robotics has made remarkable...

  Recent advancements in the application of artificial intelligence (AI) have opened new avenues for the discovery of novel materials for ceramic fuel cells.   Study conducted by Prof. Meng NI and his research team    Ceramic fuel cells, also...

  By analysing huge amounts of biological data, the use of machine learning accelerates the identification of critical control hubs that are sensitive to changes in the network structure of the total controllability network, thereby having potential...

  A novel two-stage, degradation-aware framework enhances the diffusion model’s ability to recognise content and degradation in low-resolution images. It regenerates realistic image details while preserving semantics, demonstrating...