'Almost every Fortune 500 is tracking overall AI usage': What that means for employees

Most Fortune 500 companies are tracking workplace AI usage at the group, role or individual level as token costs become a ...

34 Jobs Least Likely to Be Automated by AI—From Power-Line Installers to Athletes

AI could impact jobs in financial services, insurance, and data processing, leaving dredging, bartending, and tile laying in ...
The Maravi Post

Guinea Launches AgriConnect Compact to Transform Agri-Food Systems, Strengthen Food Security, and Create Jobs

Guinea Launches AgriConnect Compact to Transform Agri-Food Systems, Strengthen Food Security, and Create Jobs - The Maravi Post ...
Crypto Briefing

Carissa Véliz: Predictive technologies require enlightened decision-making, algorithmic hiring can perpetuate biases, and academic fraud undermines integrity …

Predictive technologies require a more enlightened approach to decision-making. The unpredictability of significant life ...
Opinion

AI is finally delivering productivity — for remote employees

Mileage varies according to how you group employee types, too. The Federal Reserve Bank of St. Louis found that workers using AI saved 5.4% of their work hours, a 1.1% overall increase in productivity ...
IEEE

Research on Employee Turnover Prediction Model Based on Machine Learning

Employee turnover poses significant challenges to corporate sustainability and competitiveness. Amid evolving market conditions and intensifying talent competition, organizations urgently require ...
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
GPS World

Evolution: Machine learning for station specific Ionosphere prediction in GNSS positioning

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...
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

Comparative Study on Employee Performance Prediction Using Machine Learning Approaches

Abstract: This study takes 500 enterprise employees as the research sample and employs five machine learning algorithms to conduct prediction tasks for both employee performance rating and performance ...
Scientific Research Publishing

Jung, H., Jeon, J., Choi, D., & Park, J. (2021). Application of Machine Learning Techniques in Injection Molding Quality Prediction: Implications on Sustainable Manufacturing ...

ABSTRACT: Purpose: This study investigates the implementation of artificial intelligence (AI) in manufacturing management in Thailand’s Eastern Industrial Region, addressing significant knowledge gaps ...