According to Telefónica's Alex Harmand, agentic AI changes how network APIs generate revenue by shifting pricing away from individual API calls toward outcome-based consumption.

A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and learn from them without real-world consequences.

Central to Collate’s new capabilities is the launch of AI Studio , which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...

As companies rush to roll out “helpful” AI bots, they’re inadvertently giving those agents broad access to sensitive data.

Moltbook, a Reddit for AI agents, sparked viral chatter, lobster-based lore and deeper questions about agent interaction and human projections on AI.

Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...

The latest monthly update to Visual Studio Code, version 1.107 (the November 2025 release), continues Microsoft's focus on AI-assisted workflows with expanded multi-agent orchestration across local, ...

Zhipu AI has open-sourced AutoGLM, an AI agent model described as the first to demonstrate stable on-device “phone use” capabilities, Blue Whale Finance reported. The model can perform multi-step ...

A stealth artificial intelligence startup founded by an MIT researcher emerged this morning with an ambitious claim: its new AI model can control computers better than systems built by OpenAI and ...