The Economist

How to avoid common AI pitfalls in the workplace

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...
The American Prospect

Prices in the Machine

This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...
CU Boulder News & Events

Machine Learning Updates - MS-CS, MS-AI on Coursera

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...
Frontiers

Advances in machine and deep learning for ECG beat classification: a systematic review

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...
EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
The Verge

The algorithm failed music

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
Wired

AI’s Next Frontier? An Algorithm for Consciousness

As a journalist who covers AI, I hear from countless people who seem utterly convinced that ChatGPT, Claude, or some other chatbot has achieved “sentience.” Or “consciousness.” Or—my personal favorite ...
Quanta Magazine

The Game Theory of How Algorithms Can Drive Up Prices

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
Frontiers

Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning

1 Tianjin Chest Hospital, Tianjin University, Tianjin, China 2 Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China Background: Lung ...
IEEE

A Comparative Study of Machine Learning Models for Cardiovascular Risk Prediction Using PCA-Transformed Framingham Data

Abstract: Cardiovascular disease (CVD) remains the leading cause of mortality globally, highlighting the urgent need for effective early detection systems. Supervised machine learning algorithms, such ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...