The Nanomaterials Modeling group of Dr. Grajciar and Dr. Heard from the Faculty of Science, Charles University develops and applies a range of computational methods to study materials with significant industrial potential ...
A study published in the International Journal of Electronic Marketing and Retailing has provided new insights into social media influencers, particularly focusing on those in the women's fashion sector on the well-known ...
A research team developed new equipment that achieved fully automatic and unmanned detection of soil nutrients (such as organic matter, available potassium, available phosphorus) and heavy metals (including Pb, Cd, Hg, As, ...
Optical analysis and machine learning techniques can now readily detect microplastics in marine and freshwater environments using inexpensive porous metal substrates. Details of the method, developed by researchers at Nagoya ...
Researchers at Nagoya University in Japan have found that cooperative hunting, in which two or more predators collaborate to capture prey, does not require sophisticated cognitive processes in the brain. Rather, cooperation ...
How can machine learning help astronomers find Earth-like exoplanets? This is what a new study hopes to address as a team of international researchers investigated how a novel neural network-based algorithm could be used ...
For the Ningxia area, located in the arid and semi-arid regions of China, groundwater is one of the most important sources of drinking water. However, there has been little research on the application of machine learning ...
The Neanderthals (Homo neanderthalensis) fascinate researchers and the general public alike. They remain central to debates about the nature of the genus Homo (the broad biological classification that humans and their relatives ...
In a May 15 paper released in the journal Physical Review Letters, Virginia Tech physicists revealed a microscopic phenomenon that could greatly improve the performance of soft devices, such as agile flexible robots or microscopic ...
Research led by the University of Plymouth has shown that a new deep learning AI model can identify what happens and when during embryonic development, from video.
