EPFL researchers have developed a novel AI-driven model designed to predict protein sequences from backbone scaffolds, incorporating complex molecular environments. It promises significant advancements in protein engineering ...
Fluorescence microscopy is a cornerstone of modern biological imaging, allowing scientists to study cells and their processes in real time. However, limitations in resolution and noise levels can hinder the clarity and detail ...
What lies deep beneath ocean surfaces is often a mystery. In Australia, many underwater habitats have not been mapped, and researchers know little about them. Now, scientists are working to change that by employing sea lions ...
Clouds have for decades been a bugbear for remote sensing of land surface temperature—one of the most important earth system metrics, used in everything from tracking climate change to predicting wildfires. A new approach ...
Researchers have been studying the industrial production of ammonia for a century. But they've struggled to find ways to improve the low-yield, low-efficiency process.
The Washington tribes that agreed to provide wolves to Colorado's reintroduction program have rescinded their offer, forcing state wildlife officials to seek a different source—a search that has proved difficult in the ...
Environmental biology researchers at the National University of Singapore (NUS) have developed an efficient method for rapidly identifying and classifying human activities within nature reserves at the global level, using ...
There are more than 500 species of sharks in the world's oceans, from the 7-inch dwarf lantern shark to whale sharks that can grow to over 35 feet long. They're found from polar waters to the equator, at the water's surface ...
An experiment aimed at learning more about how plants grow in space will be aboard a National Aeronautics and Space Administration launch in early August from the Cape Canaveral Space Force Station in Florida.
A team of researchers led by Professor Xie Chengjun and Associate Professor Zhang Jie at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, have developed an innovative Decoupled Feature Learning ...
