A complete demonstration of Google ADK's Visual Agent Builder, showcasing how to build complex multi-agent systems through natural language conversation with an AI Assistant. This research agent uses ...

Abstract: Multi-agent systems have become a research focus in the control field due to their ability to complete complex tasks that single agents cannot achieve independently, with state ...

The big AI companies promised us that 2025 would be “the year of the AI agents.” It turned out to be the year of talking about AI agents, and kicking the can for that transformational moment to 2026 ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

It’s been nearly two years since Microsoft CEO Satya Nadella predicted AI would replace knowledge work — the white-collar jobs held by lawyers, investment bankers, librarians, accountants, IT, and ...

Abstract: Multi-Agent Reinforcement Learning (MARL) has proven to be effective in learning cooperative policies, where agents learn decentralized policies, sharing the same network parameters, through ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI. That's where Sarra Alqahtani comes in. An associate professor of computer science at Wake ...

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...