This AI Agent Is Designed to Not Go Rogue

The new open source project IronCurtain uses a unique method to secure and constrain AI assistant agents before they flip ...

AI and Machine Learning in Digital Wallets: From Fraud Detection to Personalized Finance

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...
Security Boulevard

There’s Always Something: Secrets Detection at Engagement Scale with Titus

TL;DR: Titus is an open source secret scanner from Praetorian that detects and validates leaked credentials across source code, binary files, and HTTP traffic. It ships with 450+ detection rules and ...
GeekWire

Orange Crabs in the Machine: How Rust is rewriting the rules of modern software

Rust mascot Ferris the crab welcomes attendees to RustConf 2025 in Seattle, where the community marked the 10th anniversary of the open-source programming language’s first stable release, and ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
The New York Times

The Professors Are Using ChatGPT, and Some Students Aren’t Happy About It

Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...
Scientific Research Publishing

Mian, T., Choudhary, A. and Fatima, S. (2023) Multi-Sensor Fault Diagnosis for Misalignment and Unbalance Detection Using Machine Learning. IEEE Transactions on Industry ...

ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...
IEEE

Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques

Abstract: Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. This study investigates the ...