AI agents now operate across enterprise systems, creating new risk via prompt injection, plugins, and persistent memory. Here ...

In the last year, AI agents have become all the rage. OpenAI, Google, and Anthropic all launched public-facing agents ...

Agentic AI workflows demand proof that endures when novelty fades and scrutiny increases. Leaders are not asking whether an ...

Abstract: Autonomous vehicles (AVs) offer a promising glimpse into a future where transportation is smarter, safer, and more streamlined. Nevertheless, as AVs continue to interact with conventional ...

Understand how this artificial intelligence is revolutionizing the concept of what an autonomous agent can do (and what risks ...

Biologists, physicists and computer scientists have joined a platform called RentAHuman.ai to advertise their skills.

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.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...

A comprehensive toolkit for working with the Model Context Protocol (MCP), providing seamless integration between AI agents and various data sources, APIs, and services. Whether you're building, ...

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...