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

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

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

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

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 ...

According to a Deloitte survey, nearly 60% of the AI leaders and representatives are struggling with adopting AI agents, primarily due to integrating with legacy systems and addressing risk and ...

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

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 ...

ADELPHI, Md.-- Army researchers are collaborating to enhance multi-agent teaming capabilities for the Soldier that will lead to improved situational awareness and communication capabilities on the ...