A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the Event Horizon Telescope, ...
University of Otago—Ōtākou Whakaihu Waka scientists have discovered that it takes mere minutes for a species of sex-changing fish to develop dominant behavior after a change in the pecking order.
A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, whether an olive plantation is traditional, intensive, or super-intensive.
A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting the modification of material properties. Artificial intelligence models that were pre-trained on ...
No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a camera, there are always fundamental resolution limits that cannot be exceeded in principle. The position ...
In a leap forward for genetic and biomedical research, two scientists at the University of Missouri have developed a powerful new artificial intelligence tool that can predict the 3D shape of chromosomes inside individual ...
Researchers have developed a machine learning model called DreaMS, which significantly accelerates the analysis of previously unknown molecules. The study is published in Nature Biotechnology.
Increasingly powerful AI models can make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does something that's unprecedented ...
When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting states of matter, such as fractional quantum Hall liquids. These are exotic states of matter characterized ...
High-entropy alloys (HEAs) offer tunable compositions and surface structures, presenting significant potential for creating novel active sites to enhance CO2 reduction (CO2RR) catalysis, a key process for sustainable energy.
