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 ...

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

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

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 ...

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 ...

Why Multi-Agent Systems Outperform Traditional AutomationEnterprises have squeezed value from automation by codifying workflows, eliminating repetitive tasks and streamlining handoffs for more than a ...

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.

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 ...

Zapier reports AI agent orchestration coordinates specialized AI agents for efficient, cohesive workflows, enhancing ...

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 ...

In contrast to traditional models, where data leakage is typically confined to a single interaction, agentic AI introduces ...