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 ...

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

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 ...

Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...

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

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 ...

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 ...

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 ...