Morning Overview on MSN

AI expert says job fears are overblown, but hiring is getting messy

Federal projections suggest AI will reshape work tasks without triggering the mass layoffs that dominate public anxiety, and ...
Education Week

AI Is Changing Teacher Hiring. Here’s How

Daniel Perez, a recruiter with Teachers Accelerator Program, talks to a job seeker during a job fair on Oct. 1, 2025, in ...

New MIT jobs report: Why AI's work impact will roll in like a rising tide, not a crashing wave

AI may be 'minimally sufficient' at most of your text work tasks by 2029, according to new MIT research. Here's why that's ...

The most innovative small companies for 2026

Why C-Crete Technologies, GridCARE, and EpiBone are among Fast Company’s Most Innovative Companies with fewer than 50 ...
IEEE

Predicting Employee Attrition Using Machine Learning Approaches

Abstract: Employee attrition is a costly problem for organizations, leading to loss of institutional knowledge, reduced productivity, and increased recruitment expenses. Machine learning offers a ...
Frontiers

Web-based cardiovascular disease risk prediction using machine learning

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
IEEE

Employee Retention and Layoff Prediction Using Machine Learning: A Comparative Study of XGBoost and KMeans

Abstract: Employee retention and layoff predictions are now one of the big challenges that organizations in different sectors face, especially in highly turning-over industries or those whose labor ...