Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
Study Identifies Systematic Instabilities in Quasar Dipole Measurements. New Analysis Challenges "Lopsided Universe" ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
"We typically think of ice as a solid material, so the discovery that parts of the Greenland ice sheet actually undergo ...
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, “Probability is the ...
Terra Planet Earth on MSN
Researchers Report Unexpected LHC Particle Signals and the Hard Truth Is Uncertainty Grows
Top quark data may encode quantum magic, but the closer scientists look, the more selection, modeling, and proof matter every ...
UNSW researchers have developed an intrinsic-adjusted single-diode model that explicitly accounts for radiative and Auger recombination, improving I–V curve accuracy and reducing root mean square ...
Electra announces a major milestone with the successful validation of its EVE‑Ai™ Adaptive Controls platform, enabling ...
The Standard Model of Particle Physics is the best theory scientists have to explain how the universe works on subatomic ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Abstract: This research contributes to the advancement of traffic state estimation and prediction methodologies by leveraging the benefits of the nonlocal LWR model within a physics-informed deep ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results