Researchers from The University of Osaka, Kyushu University, and the University of Victoria have developed a new method ...

From mineral exploration to seismic interpretation, AI is reshaping how geoscientists work with complex, multi-source data. Machine learning models, generative AI, and prompt engineering are enabling ...

Discover what savvy investors evaluate before trusting a crypto price prediction, including methodology, data quality, ...

AI-driven forecasting and optimization are transforming the automotive supply chain, improving demand accuracy, cutting inventory costs, and enhancing resilience. Studies highlight gains from ensemble ...

Oberlin College announced the awardees of the AI Micro Grant Program on April 9 in the Campus Digest as part of the ongoing Year of AI Exploration. The micro grant has been awarded to nine members of ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule ...

Abstract: In this letter, a machine-learning-assisted graphic antenna design method using dynamic acquisition ensemble (ML-GDAE) is proposed. First, a dynamic normalized Gaussian network-based antenna ...

Predicting Parkinson's disease (PD) motor progression remains challenging despite advances in neuroimaging. Blood-based transcriptomic profiling offers a more accessible and cost-effective alternative ...

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...

The LIBS measurement system primarily consisted of an Nd:YAG laser (Dwa-200, Beijing LeiBao Photoelectric Technology Co., Ltd., China), a multichannel spectrometer (AvaSpec-ULS2048, Avantes, ...