The Hebrew University team has developed the first binder-free method for 3D printing glass, using light to trigger a chemical reaction that directly forms silica structures without the need for organic additives or extreme heat. This breakthrough makes glass printing faster, cleaner, and more precise, with potential to revolutionize fields from optics to medicine by enabling custom, high-performance glass components that were previously impossible to manufacture.

MIT Joins Giant Magellan Telescope International Consortium

An automatic diagnosis system based on wearable augmented reality (AR) glasses and an artificial intelligence (AI)model was developed to assess leafminer damage levels, and it achieved 92.38% accuracy. The DeepLab-Leafminer model incorporated an edge-aware module and the Canny loss function into the DeepLabv3+ model, which enhanced its ability to segment the leafminer damaged area in leaves.A mobile application and a web platform were developed to display the diagnostic results of leafminer damage levels for surveyors to guide their scientific decisions for leafminer prevention and control.

Solar-driven interfacial desalination has long faced challenges such as huge heat loss, relatively low efficiency, and easy coating shedding. Now, Wang Zhenxing's team from Nanchang University has successfully developed a new type of bionic cracked metal phenolic coating inspired by crocodile skin and plant veins. The unique crack structure enables ultra-thin water layer transport and compression resistance, with a high evaporation rate of 3.2 kg m^-2 h^-1 and efficient photocatalytic degradation of pollutants. The results, published in Science Bulletin, provide a breakthrough solution to the global freshwater crisis.

Summary: “Mind reading” evokes images of futuristic scanners, but a study published in Nature Neuroscience demonstrates that a simple video may be enough. Using machine learning techniques, a team at the Champalimaud Foundation in Portugal, showed that mice’s facial movements reflect their hidden thoughts. According to the authors, this discovery could offer unprecedented insight into brain function, but also signals a need to consider safeguards for mental privacy. ***SUMMARY YOUTUBE VIDEO LINK***: https://youtu.be/eNjkmeJ-lvE

Liberate AI, an interdisciplinary project uniting researchers from the medical domain, computer science, and trustworthy artificial intelligence (AI), aims to develop an AI model capable of supporting doctors in the treatment of ischemic stroke. Serving as a digital assistance system, the AI model is intended to predict the long-term outcome of patients after mechanical thrombectomy, a minimally invasive treatment, as well as potential complications. Using a technology called Swarm Learning, the AI model will be trained in a privacy-preserving fashion on medical data residing at different sites across Germany. Further challenges addressed in the project include the AI’s explainability as well as its ability to make differentiated predictions for patient subgroups. Funded by the Helmholtz Association with 250,000 euros, Liberate AI is a joint project between Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), the Department of Vascular Neurology at the University Hospital Bonn (UKB), and CISPA Helmholtz Center for Information Security.