Future high-speed communication networks based on millimeter-wave (30-300GHz) technology will be more robust and efficient in delivering extremely high speed, high quality video, and multimedia content and services thanks to the results of a ground-breaking research project. The recently concluded project was a collaboration between Huawei Technologies and IMDEA Networks Institute, the Madrid-based research body pioneering many technologies that are being deployed in the new 5G landscape.
Harmonization method developed to reduce site-related differences between neuroimaging data from individual imaging sites and publicly released big data of multiple psychiatric disorders from many imaging sites.
A new learning system developed by MIT researchers improves robots' abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based particle simulator, could give industrial robots a more refined touch -- and it may have fun applications in personal robotics, such as modelling clay shapes or rolling sticky rice for sushi.
The quantum theory group at the University of Sydney is behind two papers published this month in Nature publications that are pushing the boundaries of quantum computing.
Portland State University researcher Nirupama Bulusu wants to prevent counterfeit pharmaceuticals from flooding the market. Bulusu recently published a blockchain protocol that could do just that.
Rice University biological physicists took inspiration from the mighty blacksmith to refine their computational models of how proteins fold. These models will help structural biologists who design drugs and other therapies.
New study in Nature Communications finds increasingly narrow peaks of collective attention over time, supporting a 'social acceleration' occurring across different domains.
A team of human-computer interaction researchers from Lancaster University and Trinity College Dublin, have through in-depth interviews with experts in neuropsychology and cognitive behavioral therapies, found that most existing technologies related to supporting memory impairments are focused on 'episodic' impairments, which are closely associated with conditions such as dementia.
There's been a rapid resurgence of interest in understanding the energy cost of computing. Recent advances in this 'thermodynamics of computation' are summarized in a new review published in the Journal of Physics A.
Computer science researchers have developed a technique that reduces training time for deep learning networks by more than 60 percent without sacrificing accuracy, accelerating the development of new artificial intelligence (AI) applications.