AI agents are moving beyond the workplace and into everyday life, with the potential to manage shopping, schedules, and ...

New platform capabilities orchestrate empathetic, predictive, and compliant AI agents to enhance citizen services, commerce, ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

Pioneers like Thermo Fisher, Axos Bank, and Ascot Insurance have more than 5,500 AI agents in development, delivering measurable efficiency gains and optimizing workflows "The enterprise AI race isn’t ...

This Perspective explores the transformative potential of multi-agent systems (MAS) powered by Large Language Models (LLMs) in the geosciences. Users of geoscientific data repositories face challenges ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

The field of AI alignment has long focused on aligning individual AI models to human values and intentions. But with the rise of multi-agent systems, this focus is shifting now. Instead of a single ...