Machine learning discovers quasars acting as lenses

Quasars acting as strong gravitational lenses are among the rarest finds in astronomy. Out of nearly 300,000 quasars ...
TMCnet

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
Devdiscourse

How artificial intelligence is revolutionizing ocean pollution detection

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...
InsuranceNewsNet

Study Data from Texas State University Update Knowledge of Machine Learning (Predicting High Urinary Tract Infection Rates in Skilled Nursing Facilities: A Machine Learning ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Machine Learning have been presented. The news correspondents obtained a quote from the research from Texas State ...

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...
EurekAlert!

Do investors care about carbon emissions? Evidence based on stock return co-movement with machine learning-augmented data

This paper represents the first attempt to examine investor behaviour for green stocks through the lens of return co-movement ...
AlphaGalileo

G2net: when gravitational waves met machine learning

The discovery of gravitational waves in 2015 marked a turning point in our understanding of the universe. But detecting these ...

New AI method boosts microplastic classification

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...
Wastewater Digest

Innovative approaches to sludge management: The role of AI, machine learning, and emerging technologies

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
IEEE

Capacitance Classification for Supercapacitors Using Machine Learning

Abstract: Supercapacitors are considered key components in many industrial and technological applications, due to their high ability to store energy and rapid charging and discharging. In this study, ...
McKnight's Long-Term Care News

Simple screening questionnaires better for identifying social needs compared to advanced machine learning, study determines

Attractive young woman in blue workwear nurse helping senior black man in wheelchair with questionnaire, african american pensioneer filling papers at nursing home, having assistance Simple patient ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...