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.

Cloud Storage Security, an innovative start-up focused on securing data in the cloud, announces the immediate availability of ...

Prevent unintended exposure of sensitive data stored in the cloud, from innocent misconfigurations and internal saboteurs, to thwarting the most sophisticated malicious attacks. ROCHESTER, N.Y., April ...

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, ...

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

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Around 70% of El Nino years since 1980 have been linked to weak Indian monsoons, underscoring a strong correlation as global ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.