CNETOpinion

From Tea Leaves to AI: Why Today's High-Tech Predictions Are So Dangerous

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...
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 ...

Meta is tracking employee keystrokes on Google, LinkedIn, Wikipedia as part of AI training initiative

As part of an AI initiative that tracks employee keystrokes and mouse clicks, Meta is monitoring use of popular sites like ...

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 ...
Crypto Briefing

Mati Staniszewski: Modern audio models replicate human speech using neural networks, the importance of text and voice characteristics, and Eleven Labs’ mission …

ElevenLabs' AI audio models are set to revolutionize business communication with human-like speech synthesis. Audio models ...
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 ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
IEEE

Employee Turnover Prediction Using Supervised Machine Learning Models: A Comparative Evaluation Approach

Abstract: Employee turnover poses a significant threat to organizations, impacting stability and expense. This paper introduces a machine learning model that forecasts whether an employee will quit ...
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 ...