One-third of shark species are at risk of extinction, yet scientists still lack basic data on their habitats, populations, and trends. To solve this, researchers at Virginia Tech, Stanford University, and others are building ...
Researchers from Denmark, New Zealand, Australia, Spain and the U.S. have reconstructed the composition of phytoplankton communities around Antarctica over nearly three decades, the most comprehensive study of its kind to ...
After enduring centuries of hunting, habitat loss, and disease, North American beavers (Castor canadensis) are making a comeback—and bringing benefits for both humans and nature with them.
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate predictions by analyzing large ...
Researchers at the Max Planck Institute for Polymer Research have upended assumptions about how water behaves when squeezed into atom-scale spaces. By applying spectroscopic tools together with the machine learning simulation ...
Fighting off pathogens is a tour de force that must happen with speed and precision. A team of researchers at CeMM and MedUni Vienna led by Christoph Bock and Matthias Farlik has investigated how macrophages—immune cells ...
Glaciers carved the deep valleys of Banff, eroded Ontario to deposit the fertile soils of the Prairies, and continue to change Earth's surface. But how fast do glaciers sculpt the landscape?
On New Year's Day 1995, a monstrous 80-foot wave in the North Sea slammed into the Draupner oil platform. The wall of water crumpled steel railings and flung heavy equipment across the deck—but its biggest impact was what ...
A machine learning method developed by researchers from the Institute of Science Tokyo, the Institute of Statistical Mathematics, and other institutions accurately predicts liquid crystallinity of polymers with 96% accuracy. ...
In the ERC project HelixMold, a team from TU Graz developed a method for the computer-based design of artificial proteins, with a focus on custom biocatalysts for pharmaceutical applications or the degradation of biopolymers.
