AKEDO today announced it has raised $5 million in seed funding to accelerate development of its AI-native Content ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential pipelines to human-in-the-loop architecture. The guide provides concrete ...

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

Britive integrates with CallSine to enforce identity governance and secure access across autonomous multi-agent AI ...

Amatrium begins 2026 with a GPT-5.1 upgrade and multi-agent intelligence, delivering faster, more reliable results ...

Orchestration across multi-agent systems and platforms is a critical concern — and a key differentiator for IT leaders hoping ...

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 ...

Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the ...

The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

SpaceX launched a pair of Falcon 9 vehicles carrying Starlink satellites on the night of Nov. 14-15, scheduling the launches to work around temporary FAA restrictions. Credit: SpaceX Space missions ...

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