A groundbreaking non-hand-worn VR hand rehabilitation system has been developed, utilizing ionic hydrogel electrodes and deep learning for electromyography (EMG) gesture recognition. The system offers load-free rehabilitation without bulky mechanical components, providing a more accessible and flexible alternative to traditional rehabilitation methods. This VR-based solution enables immersive training and precise hand rehabilitation for stroke and joint disease patients in the comfort of their homes, without the constraints of time or location.

A self-supervised deep learning model has been developed to improve the quality of dynamic fluorescence images by leveraging temporal gradients. The method enables accurate denoising without ground truth data and facilitates clearer visualization of spatially and temporally dynamic biological signals in vivo.

Oregon State University scientists have improved artificial intelligence’s ability to identify wildlife species in photos taken by motion-activated cameras.

Researchers from University of South China, Tsinghua University and Technical University of Munich have developed a whole system uncertainty model and an Intelligent optimized power control system of the space nuclear reactor with faster response, higher control accuracy and stronger adaptability under uncertainty conditions. These research results provide new ideas and solutions for improving the intelligence level and autonomous control capability of advanced nuclear energy systems in complex environments.

Mass General Brigham researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better. They say their findings, published in JAMA Network Open, suggest that combining DXplain with LLMs could enhance clinical diagnosis and improve both technologies.

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle.