Biomedical engineers at UT Austin have found a way for people to get better shuteye. Systematic review protocols allowed researchers to analyze thousands of studies linking water-based passive body heating, or bathing and showering with warm/hot water, with improved sleep quality.
KAIST researchers have developed mobile software platform technology that allows a mobile application (app) to be executed simultaneously and more dynamically on multiple smart devices. Its high flexibility and broad applicability can help accelerate a shift from the current single-device paradigm to a multiple one, which enables users to utilize mobile apps in ways previously unthinkable.
As a powerful example of how artificial intelligence (AI) can accelerate the discovery of new materials, scientists in Japan have designed and verified polymers with high thermal conductivity -- a property that would be the key to heat management, for example, in the fifth-generation (5G) mobile communication technologies. Their study highlights the great advantages of machine learning methods over traditional ways of searching for high-performance materials.
Scientists from the Faculty of Physics, University of Warsaw, in collaboration with the University of Oxford and the NIST agency, have shown that quantum interference enables processing of large sets of data faster and more accurately than with standard methods. Their studies may boost applications of quantum technologies in e.g. artificial intelligence, robotics and medical diagnostics. The results of this work have been published in the Science Advances journal.
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.
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.
Military deployments to austere environments -- whether humanitarian missions or combat operations -- involve extensive logistical planning, which is often complicated by unforeseen events. Researchers have now created a model aimed at helping military leaders better account for logistical risk and uncertainty during operational planning and execution.
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.
DGIST announced on July 4 that Professor Min-Soo Kim's team in the Department of Information and Communication Engineering developed the DistME (Distributed Matrix Engine) technology that can analyze 100 times more data 14 times faster than the existing technologies. This new technology is expected to be used in machine learning that needs big data processing or various industry fields to analyze large-scale data in the future.
A group of physicists at UNSW Sydney have built a super-fast version of the central building block of a quantum computer. The research is the milestone result of a vision first outlined by scientists 20 years ago.