AI in engineering: Engineering teams are adopting AI tools to speed up design iteration, detect system issues earlier, and scale internal expertise without replacing core CAD and simulation systems.

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 ...

CLI-Anything generates SKILL.md files that AI agents trust and execute. Snyk found 13.4% of agent skills contain critical ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Google Cloud will attribute a unique cryptographic ID every AI agent that will be tied to “traceable and auditable” authorization policies ...

Abstract: Artificial Intelligence of Things (AIoT) is an innovative paradigm expected to enable various consumer applications that is transforming our lives. While enjoying benefits and services from ...

ABSTRACT: This study explores the growing impact of machine learning (ML) on forensic accounting and fraud detection. As financial transactions and systems become increasingly complex and voluminous, ...

First unified, single-pane-of-glass platform to deliver real-time detection and mitigation of API threats, including Broken Object Level Authorization (BOLA) and other advanced business logic threats ...

Quantum computing has long been the domain of theoretical physics and academic labs, but it’s starting to move from concept to experimentation in the real world. Industries from logistics and energy ...