Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — is enough to produce cooperative multi-agent systems that adapt to each ...

XMPro named as a Sample Vendor for Agentic AI category Gartner describes as “highly autonomous, deeply specialized, and ...

SAP and Google Cloud have announced a partnership focused on AI agents working between their systems. The update that ...

As agentic AI became the norm, many companies treated control as something to work out later, but these agents have ...

The race to deploy multi-agent AI systems inside enterprise operations is accelerating. Customer support pipelines, document ...

Enterprises can build toward the Internet of Cognition, which enables agents to share intent, accumulate knowledge & innovate ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more. Everyone is building “agents,” but there is a large ...

The rise and risks of agent management platforms ...

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools ...

The best AI agents money can buy still cannot do what a trained scientist does every day: read several research papers, spot ...