Adversarial AI framework reveals mechanisms behind impaired consciousness and a potential therapy

Consciousness, and the ways in which it can become impaired after certain brain injuries, are not well understood, making ...
Business Wire

Mitsubishi Electric Develops Multi-agent AI for Expert-level Decisions through Adversarial Debate

TOKYO--(BUSINESS WIRE)--Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed the manufacturing industry’s first multi-agent AI technology that leverages an argumentation ...
Security Boulevard

Automated Threat Detection for Quantum-Enabled Adversarial Attacks on AI Context

Learn how to protect Model Context Protocol (MCP) from quantum-enabled adversarial attacks using automated threat detection ...
Bleeping Computer

AI is accelerating cyberattacks. Is your network prepared?

Cyber security is under intense scrutiny these days, especially as more adversarial AI-based attacks such as Scattered Spider can use a variety of living-off-the-land methods to spread and speed their ...
VentureBeat

Adversarial attacks in machine learning: What they are and how to stop them

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...
Network World

Cisco defines AI security framework for enterprise protection

Cisco's AI Security and Safety Framework includes a unified taxonomy that aims to classify a range of AI safety threats, such as content safety failures, agentic risks, and supply chain threats. Cisco ...
Frontiers

The Applications of AI Techniques in Medical Data Processing

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...