This interest in Alphabet's robotaxi company signals a shift in investor confidence around driverless technology.
AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
The event — hosted by the USU Student Organization of Cybersecurity, or SOC, and led by the USU Baddies of Tech Club, or BOT ...
The bustling digital economy of Philadelphia brings together innovation and historic aspirations in actions that have never ...
The Model Context Protocol (MCP) has quickly become the open protocol that enables AI agents to connect securely to external tools, databases, and business systems. But this convenience comes with ...
Agentic AI tools like OpenClaw promise powerful automation, but a single email was enough to hijack my dangerously obedient ...
Moltbook is a “Reddit for AI” where millions of agents post, argue, and form religions. A surreal glimpse into agentic AI and ...
AI browsers can be hijacked through prompt injection, turning assistants into insider threats. Learn how these exploits work ...
Discover Microsoft’s holistic SDL for AI combining policy, research, and enablement to help leaders secure AI systems against ...
History may soon repeat itself with a novel new platform: networks of AI agents carrying out instructions from prompts and sharing them with other AI agents, which could spread the instructions ...
This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
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