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 ...

These Tools Say They Can Spot A.I. Fakes. Do They Really Work?

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...
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 ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...
IEEE

Towards Wheat Rust Disease Classification using Different Machine Learning Approaches: A Systematic Literature Review

Abstract: This systematic literature review explores various machine learning (ML) approaches for the classification of wheat rust diseases, a significant threat to global food security. With the ...
chromatographyonline

Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science

AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
EurekAlert!

Attention detection using EEG signals and machine learning: A review

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...