Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
Researchers at the Museum für Naturkunde Berlin, together with data scientists, have developed a new method to largely ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
How can California State University, Northridge student athletes enhance their performances? Learning how to get a good night ...
Colgate University has been awarded the 2026 Carnegie Community Engagement Classification, an elective designation awarded by the American Council on Education (ACE) and the Carnegie Foundation ...
A new analysis from the SCOPE consortium evaluates stroke prevention and atrial fibrillation risk after PFO closure in young ...
UMass Lowell business students tour the gymnasium at the Boys and Girls Club of Greater Lowell. UMass Lowell has received a ...
AI helped researchers probe the Hubble Space Telescope's archive to find strange celestial objects, including some ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Introduction: Recently, the integration of deep learning techniques and computational materials science has catalyzed significant advances in the microstructural analysis of materials, particularly ...
Stellar spectral types originally followed alphabetical order. But as astronomers observed more stars and obtained more detailed spectra, they consolidated some categories and reordered the remaining ...
All year long, these moments captivated the public, demonstrated dangerous trends, and pushed research and innovation forward In 2025, researchers watched an interstellar comet, learned about human ...
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