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 ...
Crowdfund Insider

Haiqu: Quantum Computers Better at Anomaly Detection

Haiqu, a quantum software company, said it has demonstrated that today’s quantum computers could detect anomalies more ...
EurekAlert!

An interpretable machine learning model for predicting 5‐year survival in breast cancer based on integration of proteomics and clinical data

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...
IEEE

Data-Driven Machine Learning Models for Enhanced Fetal Health Classification and Monitoring

Abstract: Fetal health classification plays a critical role in prenatal care by identifying potential risks and ensuring timely intervention. This study explores the application of multi-class ...
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 ...
Hosted on MSN

How I’d Learn Deep Learning in 2025 – The Smarter, Faster Way

Thinking of diving into deep learning in 2025? Here's how I'd start today—from foundational concepts to cutting-edge tools. AI is evolving fast, but it's never too late to get in. #DeepLearning2025 ...