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Artificial intelligence improves diagnostic accuracy in clinical breast pathology

Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.
Arizona Daily Sun

Study from Lowell Observatory researchers uses machine learning to classify meteors

Researchers used more than 28,000 meteor events recorded by the Lowell Observatory Cameras for All-Sky Meteor Surveillance ...
Hosted on MSN

Grow stunning cut flowers fast using zinnia seeds

Learn how to start a vibrant cut flower garden using zinnia seeds, perfect for fresh blooms all season. #CutFlowers #ZinniaSeeds #GardeningTips Massive explosions destroy multiple homes in quiet ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
Fierce Healthcare

Microsoft, Mayo Clinic plan to build frontier AI model for healthcare

Mustafa Suleyman, executive vice president and CEO, Microsoft AI, and Mayo Clinic CEO Gianrico Farrugia at Microsoft Build 2026 in San Francisco. (Photo by Dan DeLong) Mayo Clinic plans to develop and ...
Searchenginejournal.com

Machine-First Architecture: How To Build Websites Machines Can Identify, Read, Cite & Use

In the late 2000s, “mobile-first” emerged as a design discipline. The argument was a single sentence: don’t design for the big screen and squeeze it down. Start with the small screen, the harder ...
Frontiers

A machine learning-based classification model for interstitial lung disease in rheumatoid arthritis

This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...
Computer Weekly

Glasgow researchers use machine learning to build network digital twin

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
Nature

Integrated ore classification using stand-alone and hybridised machine learning algorithms

A state-of-the-art, robust classification model using artificial intelligence (AI) algorithms was developed in this study to estimate the gold ore classes based on trace elements measured by ...
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...