New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
PC Tech Magazine

Advanced AI and ML Courses to Learn Machine Learning, Deep Learning in 2026

Most working professionals already understand that AI skills are no longer optional they are a career necessity.
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 ...
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 ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...
Wired

Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’

Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot ...
IEEE

Exploring Machine Learning Algorithms for Malicious Node Detection Using Cluster-Based Trust Entropy

Abstract: Machine learning has, over the decades, ushered in a dramatic transformation across a range of sectors, including network security. Security experts agree that the potential of machine ...
IEEE

Predictive Analysis of Network-Based Attacks by Hybrid Machine Learning Algorithms Utilizing Bayesian Optimization, Logistic Regression, and Random Forest Algorithm

Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...