China is the world’s largest tea producer, and the tea industry is an important specialty industry for increasing agricultural efficiency and farmers’ income. Frequent tea diseases severely affect yield and quality. Traditional manual diagnosis is inefficient and error-prone, while conventional plant protection operations rely mainly on large-scale pesticide application, resulting in high costs and serious pollution. Current deep learning-based disease detection technologies are easily affected by complex environments in real tea plantations, such as lighting, occlusion, and rainy weather, and their accuracy and stability are insufficient to meet real-time field detection needs, becoming a key bottleneck in the development of smart tea plantations.

UCLA helped launch a complementary approach to computing in which richly connected, self-organized networks of nanowires or nanoparticles act as hardware-based neural networks.

Inspired by the brain, this approach is well-suited for processing complex data quickly and energy-efficiently.

A forward-looking article in Nature Reviews Physics explores these self-organized networks and their potential to complement cloud computing by handling sensor data locally in applications such as smart devices, autonomous vehicles, industrial robots and satellites.

Researchers from IIT Gandhinagar (IITGN), using computational methods, showed for the first time that a carbon material lacking structural order can aid in efficiently generating sustainable hydrogen. The study mapped more than 1000 potential reaction sites and identified atomic-scale features on the material responsible for facilitating hydrogen adsorption. The findings have potential for future design approaches tailored for next-generation energy systems and may reduce dependence on expensive metals such as platinum and iridium.

The study, based on data collected during the COVID-19 pandemic, found that stress, anxiety, and depression are the factors that most weaken psychological resilience.

A new review study in the Journal of Medical Internet Research published by JMIR Publications shows that adapting existing language models is the key to ensuring they can safely and effectively assist with clinical diagnoses, patient triaging, and treatment planning in real-world health care settings.

The Cross-Cultural Leadership Story Puzzle Game is an interactive educational platform that helps participants develop leadership and communication skills in culturally diverse environments. Delivered through Discord, the game uses role-based storytelling in which players receive unique information and must collaborate to solve workplace-style challenges. An integrated AI assessment system evaluates decision-making, communication, and cross-cultural leadership behaviors in real time, providing personalized feedback to support skill development. The platform combines narrative engagement, automation, and scalable online delivery to create an immersive learning experience for higher education, corporate training, and professional development. The patent-pending technology is at TRL 3 and available for licensing.