Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Tech Xplore

Combining lessons from ants and birds to improve AI

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...
Open Access Government

What do we know about generative AI and learning?

Nancy Butler Songer from the University of Utah discusses what we know about generative artificial intelligence and its ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

AI defensibility — What it means, why it matters, and how diligence and deal documents are catching up

Attorneys at Troutman Pepper Locke LLP discuss pillars of AI defensibility across several dimensions including proprietary ...
TechCrunch

A satellite just learned to find things on its own — here’s what that means

For the first time, an Earth observation satellite has found what it was looking for — on its own, without human analysts on the ground. The milestone, which occurred in April, marks the first ...
IEEE

AML-K: An Analog Machine Learning Accelerator for K-Means at the Edge with Hardware-Software Co-Optimization

Abstract: Healthcare and wellness applications often require always-on, real-time processing under strict power and area constraints, particularly in wearable devices. Among various machine learning ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
The New York Times

New Rules for 401(k) ‘Catch-Up’ Contributions in 2026

Older high-income workers who make contributions beyond the standard amount will have to put that extra money into a Roth 401(k). That may lower their take-home pay. By Ann Carrns If you’re a ...
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, ...