Multi-agent systems, like microservices, can be powerful. But most enterprises risk adding distributed complexity long before ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

In case you were wondering how far along we really are in making agentic AI drive meaningful impact, here are a few stats to consider: The AI agent market was estimated at $7.63 billion in 2025 and is ...

Microsoft recently introduced a system called “Critic,” where AI agents review each other’s work. For example, if drafting an ...

Enterprises are racing to build AI agents for customer support, procurement, coding, and planning. But the real transformation begins when the agents start working together. Recent research by HFS ...

Note: This article is the second in a two-part series. Click here to read Part 1: Why Multi-Agent Systems Outperform Traditional Automation.Why Multi-Agent Autonomy Requires a New Approach to ...

When multiple AI agents compete instead of collaborating, the problem isn’t the agents — it’s the missing spine that connects them.

Galileo's technology will slide into Cisco’s Splunk observability portfolio for improved AI agent visibility and protection.

What if the future of work wasn’t just about automation but about collaboration, between humans and intelligent agents? Imagine a world where multi-agent AI systems seamlessly coordinate tasks, adapt ...

The London startup emerged from stealth on 7 April with a layered agentic security solution and a seed round backed by ...

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of sustained effort. Recent advances in large language models (LLMs) have ...