By making a neural-network computer model that can be fooled by optical illusions like humans, the researchers advanced knowledge of the human visual system and may help improve artificial vision.
University of Groningen physicists in collaboration with a theoretical physics group from Universität Regensburg have built an optimized bilayer graphene device which displays both long spin lifetimes and electrically controllable spin-lifetime anisotropy. It has the potential for practical applications such as spin-based logic devices. The results were published in Physical Review Letters on 20 September.
Consumers' credit cards are declined surprisingly often in legitimate transactions. One cause is that fraud-detecting technologies used by a consumer's bank have incorrectly flagged the sale as suspicious. Now MIT researchers have employed a new machine-learning technique to drastically reduce these false positives, saving banks money and easing customer frustration.
There's quite a story behind calaverite. Apart from its marked impact on the Gold Rush, the mineral has been a headache and a great paradox for crystallographers for decades. The deeper researchers dug into it, the more new questions came up. Scientists from Russia and Germany have succeeded in interlacing all the oddities of calaverite within a simple model, so experimenters can now hunt for the new compound they predicted, AuTe, unknown until now.
There are currently millions of heavily underutilized devices in the World. The storage, networking, sensing and computational power of laptops, smartphones, routers or base stations grows with each new version and product release. Why not put all those extra gigabytes of memory and those powerful processing units to work collaboratively and expand the services available to all of us?
Researchers from the Salk Institute and the University of California San Diego used reinforcement learning to train gliders to autonomously navigate atmospheric thermals, soaring to heights of 700 meters -- nearly 2,300 feet.
Smartphones and laptops seem ubiquitous at US universities, but there is still a 'digital divide,' with some students less likely than others to have consistent access to reliable technology, according to a study co-authored by an Indiana University sociologist.
The new system uses an algorithm that can take D videos and turn them into 3D printed 'motion sculptures' that show how a human body moves through space. In addition to being an intriguing aesthetic visualization of shape and time, the team envisions that their 'MoSculp' system could enable a much more detailed study of motion for professional athletes, dancers, or anyone who wants to improve their physical skills.
A team at Princeton's Lewis-Sigler Institute for Integrative Genomics has produced new resources for research involving the roundworm C. elegans: a comprehensive view of which genes are active in each of the four major tissues of adult worms, as well as a tool for predicting gene activity across 76 more specific cell types.
MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image. Given an image and an audio caption, the model will highlight in real-time the relevant regions of the image being described.