Development of nanocomposite material simultaneously possessing high stretchability, high conductivity, and self-healability. Investigation of self-boosting phenomenon that enables spontaneous increase in electrical conductivity (over 60 times greater than the initial value) when external tensile strain is applied.
A novel sensor designed by MIT researchers could dramatically accelerate the process of diagnosing sepsis, a leading cause of death in US hospitals that kills nearly 250,000 patients annually.
Identifying with someone is an exercise that makes us understand them deeply, empathize with them, and helps us overcome mistrust and prejudice. And this occurs even when that someone is a robot. These interpersonal dynamics were confirmed by an experimental study that was published days ago in Scientific Reports. The study is the result of scientific collaboration between Italian and French scientists. It contributes to improving the relationship with technology
Neuronal networks in the brain can process information particularly well when they are close to a critical. However, experimental investigations of brain activity revealed much fewer indicators of such critical states than expected. Scientists from Forschungszentrum Jülich and RWTH Aachen University have now proposed a possible explanation. They showed that neuronal networks can assume a second, previously unknown critical mode whose hidden dynamics are almost impossible to measure with conventional methods.
The most frequently performed imaging exam in medicine, the chest X-ray, holds 'hidden' prognostic information that can be harvested with artificial intelligence (AI). Findings of this study could help to identify patients most likely to benefit from screening and preventive medicine for heart disease, lung cancer and other conditions.
Research led by the University of California, Riverside has developed a deep neural network architecture that can identify manipulated images at the pixel level with high precision by studying the boundaries of objects in the image.
NUS researchers have developed an ultra responsive and robust artificial nervous system for e-skins.
DGIST made a small AESA radar system with a super-resolution algorithm. It is expected to make huge contributions to strengthening of Korean industries and defense capabilities with domestic technology.
Researchers have created a new type of tiny 3D-printed robot that moves by harnessing vibration from piezoelectric actuators, ultrasound sources or even tiny speakers. Swarms of these 'micro-bristle-bots' might work together to sense environmental changes, move materials -- or perhaps one day repair injuries inside the human body.
Robot technicians from Far Eastern Federal University (FEFU) together with colleagues from the Far Eastern Brach of the Russian Academy of Sciences (FEB RAS) developed a command-and-control plugin for intelligent industrial robots. The new software allows the robots to build up high quality 3D computer models of workpieces quickly, precisely, and in the fully automated mode. The related article was published in International Journal of Mechanical Engineering and Robotics Research.