Smartcat, the leading enterprise AI platform for global content, today unveiled new Multi-Agent Systems for course creation and translation at Learning Technologies London 2026. The new capabilities ...

Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...

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 ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I identify and showcase a new prompting ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

Eduriti, a bootstrapped AI-native product studio, launches three live products built on a constrained multi-agent architecture that puts human-defined structure in control of AI outputs.

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Hermes Agent is an open source system positioned as an alternative to OpenClaw, focusing on workflow automation and cross-platform functionality. According to Alex Finn, Hermes Agent stands out for ...