The destructive force of a tornado occurs due to the extremely high rotational speeds in its center, which is called a vortex. Surprisingly, similar effects are predicted for light that travels along an atomically smooth ...
The counterintuitive question on how to wrap a curved spherical surface using conventionally stiff and non-stretchable or brittle materials, forms the basis of this study. To answer the question, Yu-Ki Lee and a research ...
In a new report on Science Advances, Hui Kwon Kim and interdisciplinary researchers at the departments of Pharmacology, Electrical and Computer Engineering, Medical Sciences, Nanomedicine and Bioinformatics in the Republic ...
To synthesize high-performance materials for organic photovoltaics (OPVs) that convert solar radiation into direct current, materials scientists must meaningfully establish the relationship between chemical structures and ...
A team of researchers from Osaka University and The University of Tokyo developed MNet, an automatic diagnosis system for neurological diseases using magnetoencephalography (MEG), demonstrating the possibility of making automatic ...
Scholars from the Higher School Of Economics have developed an algorithm that detects emotions in a group of people on a low-quality video. The solution provides a final decision in just one hundredth of a second, which is ...
Maize is perhaps the single, most-important cereal crop in the world. It is consumed by millions of people and is a staple for a large proportion of the global population. It is also used for animal feed and its total production ...
Face recognition is becoming an increasingly common feature of biometric verification systems. Now, a team from India has used a multi-class support vector machine to extend the way in which such systems work to take into ...
In a landmark move, a group of MPs recently published a working definition of the term Islamophobia. They defined it as "rooted in racism", and as "a type of racism that targets expressions of Muslimness or perceived Muslimness".
Finding defects in electron microscopy images takes months. Now, there's a faster way. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks—computational ...
