Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...

Abstract: Software engineering automation remains constrained, with existing AI tools typically focusing on isolated tasks such as code generation, while still relying heavily on human intervention ...

Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. Whether you're building a simple chatbot or a complex multi-agent ...

Abstract: Large-Scale multi-UAV systems have significant advantages in enhancing the coverage and reliability of communication networks due to their flexible deployment capabilities. However, existing ...

Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in ...

To build an AI agent, beginners should use OpenAI Agent Builder. It's a visual tool that lets you easily create multi-agent systems. You can test, iterate, and develop AI agents and publish them as ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

Just as enterprises started to become used to the idea of agentic AI, a new breed of agents has come on the scene: multi-agent systems, which bring with them more complexity – and more promise – than ...

Rakshana Balakrishnan is a Cloud Product Leader at Oracle, specializing in multicloud and GenAI products for a global customer base. In my previous article, I highlighted how multicloud adoption has ...