New materials design workflow powered by the AI agent platform 'DigHyd.' Credit: Hao Li et al. "DIVE can convert literature-embedded scientific knowledge into actionable innovation, offering a ...

A proof of concept shows how multi-agent orchestration in Visual Studio Code 1.109 can turn a fragile, one-pass AI workflow into a more reliable, auditable process by breaking long tasks into smaller, ...

While multi-agent AI systems sound great in theory and even practice, without trust mechanisms, these systems can fall apart fast.

Partnership introduces a white-labeled AI agents platform enabling agencies to deploy advanced, workflow-driven ...

Anthropic’s Claude Code Agent Teams support real-time peer coordination and split-pane monitoring in tmux or iTerm2, ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Michael Wegmüller has more than 20 years of experience in AI. He is cofounder of Artifact SA and a widely recognized AI business expert. Multi-agent AI systems (MAS) represent the next step in ...

Let’s get started with the frameworks and know about them in depth. Langchain is an open-source framework that enhances and simplifies the development of apps powered by large language models (LLMs) ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

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 ...

With Starburst AI, built on the company’s foundational data lakehouse system, the company looks to make it easier to “operationalize the agentic workforce” by unifying AI agents with governed data ...