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NASA deploys machine learning for timely flash flood warnings

A new open-source machine learning system cuts flash food forecasting time to just 15 minutes. The tool automates complex ...
TASS Russian News Agency

Russian AI algorithm to protect vessels in Arctic storms — scientists

The neural network is particularly good at predicting movement of squall winds and wave heights in the Barents Sea ...

Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

The weather and climate science AI revolution isn’t revolutionary

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
The New York Times

Extreme Weather Events Hit Around the World in 2025

Last year was Earth’s third hottest globally, but temperature is just one measure of climate change’s influence. By Sachi Kitajima Mulkey Last year — the third-warmest in modern history — opened with ...
Frontiers

Improved multi-scale divergence entropy combined with extreme learning machine classifier for rotating machinery fault recognition

As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
IEEE

An Extreme Learning Machine Technique for the Numerical Solution of Fractional Differential Equations

Abstract: This research intends to create a novel approach for solving fractional differential equations (FDEs) of both linear and nonlinear types utilizing the fractional shifted Legendre neural ...