An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud ...

This type of pricing holds enormous potential for retailers as long as they stay vigilant of regulatory moves and consumer ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

CHENGDU CITY, SICHUAN PROVINCE, CHINA, February 6, 2026 /EINPresswire.com/ -- The global welding robot market has ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Welcome to the official repository for EL 4152: Machine Learning Practicals. This repository is designed to provide resources, practical sessions, and coursework related to the Machine Learning module ...

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 ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

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 ...