A mobile app that guides pedestrians along the safest instead of quickest route to their destination is being developed by researchers at Cardiff University.
In a paper being presented at this week's European Conference on Computer Vision, MIT researchers describe an add-on module that helps artificial intelligence systems called convolutional neural networks, or CNNs, to fill in the gaps between video frames to greatly improve the network's activity recognition.
Researchers at Carnegie Mellon University have devised a way to automatically transform the content of one video into the style of another, making it possible to transfer the facial expressions of comedian John Oliver to those of a cartoon character, or to make a daffodil bloom in much the same way a hibiscus would.
A team of researchers from the U.S. Army Research Laboratory, the University of Canterbury in New Zealand and the Gwangju Institute of Science and Technology in the Republic of Korea have taken a step toward the development of moving target defense techniques in software-defined networks. This is a demanding cybersecurity research topic, scientists said.
Do you frequently forget passwords to a baffling array of accounts and websites? Much depends on a password's importance and how often you use it, according to a Rutgers University-New Brunswick-led study that could spur improved password technology and use.
New research out of the University of Waterloo has found a way to improve the voice query understanding capabilities of home entertainment platforms.
ORNL story tips: Lab, field tests show improved building insulation performance; ORNL-developed software runs quantum programs on multiple quantum computers; ORNL moved single atoms below a crystal's surface; certain bacteria turns mercury into methylmercury at varying rates across species; ORNL hosts Molten Salt Reactor Workshop in October.
Methodology developed by Brazilian scientists uses big data tools, has been validated in an analysis of studies on hemophilia, and can also be used to search for partnerships and technology transfer opportunities.
A joint article of the scientists of the Samara University and the University of Missouri (Columbia, USA) was published in the IEEE Transactions on Network and Service Management journal. The publication presents an algorithm that provides a fast and reliable access to powerful data processing centers (Big Data) for solving high-tech tasks.
In a paper being presented at the Interspeech conference, MIT researchers detail a neural-network model that can be unleashed on raw text and audio data from interviews to discover speech patterns indicative of depression. Given a new subject, it can accurately predict if the individual is depressed, without needing any other information about the questions and answers.