Cognitive warfare technologies now model and simulate human behavior at scale, raising concerns about autonomous digital ...

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

AI agents fail in production for predictable reasons: fragmented data, undefined workflows, and runaway escalation. Burley Kawasaki of Creatio outlines three disciplines — data virtualization, bounded ...

Publishers are exploring automation through agentic AI such as sales agents who actively make decisions in the auction.

Control's collection of resources to help with digital twin education and implementation, from Aveva, Nvidia and more ...

We've moved past the era of "ChatGPT wrappers" (thank God), but the industry still treats autonomous agents like they're just chatbots with API access. They're not. When you give an AI system the ...

In a demo for its Agentforce AI Agent Builder, the company showed how imposing logical rules on customer service agents could improve consistent outcomes.

Silicon Valley’s young coders are getting creative with this new technology. They also worry they’re not spending enough time ...

Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such illnesses are characterized by long periods of remission broken up by sudden, ...

In 2024, Anthropic introduced Model Context Protocol (MCP), a standardized method for connecting AI applications to external systems. OpenAI, Google and others quickly adopted it.

Generative AI agents can reason, plan, and take actions across enterprise systems, which means deploying them is not just a software installation but a change to how work gets done. When agents gain ...

CTI-REALM is Microsoft’s open-source benchmark that evaluates AI agents on real-world detection engineering. It measures whether an agent can take cyber threat intelligence (CTI) and produce validated ...