Microsoft has resolved an issue with a machine learning model that mistakenly flagged emails from Gmail accounts as spam in Exchange ... to improve our ML detection process to reduce false ...

In an era dominated by chatbots, automated sequences and AI-generated copy, an unlikely contender is reclaiming its throne in ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

A novel attack exploited machine learning models on PyPI, using zipped Pickle files to deliver infostealer malware ...

Mastercard's AI-powered fraud detection system uses risk-scoring and behavioral biometrics to help identify suspicious transactions.

The motivation of this research is to build email spam detection models by using machine learning and deep learning techniques so that spam emails can be distinguished from legitimate emails with high ...

What core limitations of traditional spam detection does this system aim to solve? The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods ...

Insight: Dataset is imbalanced — mostly non-spam messages. Text Preprocessing: Lowercased all text. Removed punctuation, stopwords, special characters. Applied stemming to reduce words to root form.