Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

What do mosquito populations and physical measurement data have in common? Both lead to a central problem in machine learning: the reliable estimation of class prevalence in the face of changing data.

Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...

The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

The mayor recently said violent crime is down in Burlington. That's true, but how exactly it declined between 2024 and 2025 ...

Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...