Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Research shows that combining silica fume, fly ash, and manufactured sand in concrete significantly boosts strength and enhances predictive modeling accuracy.
Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...
AI-powered polarized retinal imaging detects protein deposits linked to neurodegenerative diseases, distinguishing Alzheimer’s from ALS and related disorders with high accuracy, enabling earlier ...
An international AI weather competition that sees teams from all over the world compete to produce the most accurate three to four-week weather ...
Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...
Met Office on MSN
A year of cloud-powered weather forecasting: how the UK’s national capability is evolving
Over the past year, the UK’s national weather and climate services have undergone one of the most significant technological ...
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...
A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...
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