Healthcare AI is growing up: instead of one massive model, 2026 favors teams of smaller, specialized models that collaborate, ...

Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

In an increasingly digital era, modern life and economic activities heavily rely on networks. Network stability directly ...

Overview AI agents are rapidly transforming how businesses automate workflows, manage data, and interact with users. From ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at scale.

At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

New platform capabilities orchestrate empathetic, predictive, and compliant AI agents to enhance citizen services, commerce, ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

The Singapore-based AI clinical trial engine powering Asia’s—especially China’s—rapid rise in the biotech industry. Deep ...

When leaders set the right foundations, agentic AI—like other transformations—can become a catalyst for elevating consulting ...