A research team from Sichuan University has proposed a lightweight and robust entropy-regularized unsupervised domain adaptation framework (LRE-UDAF ...

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 ...

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 ...

I've seen the same pattern across the organizations I work with: An AI proof-of-concept gets approved, it runs on a frontier ...

Zelim has announced that its AI-enabled ZOE man-overboard detection (MOB) system has received official ISO 21195:2020 ...

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.

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

Sharp loan price selloff due to AI disruption fear rocked the CLO market with 16% software exposure. From early January to ...

In India’s $28 billion parenting market, startups are decoding every cry and blink. From AI cribs to cry-analysing apps, data ...

A report looking at a system to extract themes from public consultations highlights human and LLM-based checks.

The pharma giant will deploy OpenAI’s most advanced capabilities across its global operations, from drug discovery to ...

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...