Machine learning detects more than 60,000 earthquakes during 2025 Santorini sequence

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...

Tracing anglers in the Gulf Coast: New machine learning tools reveal when, where and how anglers fish

The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...
EurekAlert!

Fishing for better tracking: Tracing anglers in the Gulf Coast

Dr. Alan Kuhnle, assistant professor in the computer science and engineering department at Texas A&M University, is using smartphone mobility data collected from anglers to develop machine-learning ...

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
EurekAlert!

Proteins cluster in cells for faster performance

Scientists at the University of Groningen studied cells growing under different conditions and found that some conditions led ...

Delhi Technological University, TimesPro announce the inaugural advanced certificate program in artificial intelligence

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

Advanced CT scan analysis may help identify different forms of sarcoidosis

Researchers have identified a new method for analyzing chest CT scans that may help physicians better understand the different forms of sarcoidosis, a complex inflammatory lung disease that affects ...
Physics World

Have you published a disruptive paper? New machine-learning tool helps you check

Create a Physics World account to get access to all available digital issues of the monthly magazine. Your Physics World ...
IEEE

A Novel Centrality-Driven Machine Learning Approach for Clustering Critical Nodes in Cyber-Physical Power Systems

Abstract: Modern power distribution systems are increasingly integrated with information and communication technologies (ICT), forming complex cyber–physical power systems (CPPSs). Ensuring the ...
Frontiers

Uncovering distinct clinical phenotypes in disseminated intravascular coagulation through machine learning-enabled cluster analysis

Disseminated intravascular coagulation (DIC) is a critical condition encountered in the intensive care unit (ICU), characterized by multiple etiologies and variable outcomes. Distinguishing between ...