Bulletin of the Atomic Scientists

The Andes hantavirus ship outbreak: Lessons from a dress rehearsal

A hantavirus outbreak on a cruise ship has now infected 10, killed three, and left more than 100 people quarantining in the ...

Grok 4.3 Features Most Beginners Overlook : Unlock Smarter AI Answers

Learn how to use Grok 4.3 in 2026 with this beginner's guide covering advanced workflows, task automation, and role-based ...

Shai Hulud attack ships signed malicious TanStack, Mistral npm packages

Hundreds of packages across npm and PyPI have been compromised in a new Shai-Hulud supply-chain campaign delivering ...
2UrbanGirls on MSNOpinion

The rise of AI-driven compliance: Why data governance is becoming critical national infrastructure

Artificial intelligence has become embedded in nearly every operational layer of modern institutions. It parses docume ...
IEEE

Optimization of State Clustering and Safety Verification in Deep Reinforcement Learning Using KMeans++ and Probabilistic Model Checking

Abstract: Ensuring the safety of Deep Reinforcement Learning (DRL) systems remains a significant challenge, particularly in real-time applications such as autonomous driving and robotics, where ...

Online archives of over 20 years of tech reporting | The Register

Dive into The Register's online archive of incisive tech news reporting, features, and analysis dating back to 1998 ...
The Lancet

The OurFutures Vaping eHealth intervention to prevent e-cigarette use among adolescent students in Australia: a cluster randomised controlled trial

dSchool of Public Health, The University of Sydney, Sydney, NSW, Australia eSchool of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia fHealth Economics Group, School ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
IEEE

Multi-Modal Deep Embedded Clustering (MM-DEC): A Novel Framework for Mineral Detection Using Hyperspectral Imagery

Abstract: Identification of minerals through remote sensing imagery plays an important role in mineral exploration, especially when ground truth data or field work is not accessible. Hyperspectral ...