Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...

AI agents will reshape 2026: they’ll feed on synthetic/structured data, remake the web, swarm unpredictably, and empower ...

This is the core challenge that agentic identity aims to solve. In simple terms, agentic identity is a framework for binding ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

As AI moves from controlled experiments into real-world applications, we are entering an inflection point in the security ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

(THE CONVERSATION) In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to appear as everyday tools. At the center of this transition ...