AI Agents are autonomous or semi-autonomous software entities that perceive their environment, make decisions, and take actions to achieve specific goals. They use techniques such as machine learning, planning, and reasoning to interact with data, systems, or users. AI agents can operate independently or collaboratively in multi-agent systems, supporting applications such as automation, workflow orchestration, virtual assistants, and intelligent control in dynamic environments.

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How Rule-Driven Routing Makes Retrieval-Augmented Generation Smarter

Most retrieval-augmented generation systems stop at documents, ignoring the relational databases that power finance, healthcare, and research. Our researchers built a rule-driven framework that learns which source to query for each question, delivering better answers at lower computational cost.

Future of Cloud Computing with GenAI: Kunal Rao at Cloud Computing 2026

Generative AI is transforming cloud computing. At Cloud Computing 2026, Kunal Rao will chair the GenAI4Cloud track and deliver a keynote on software engineering in the AI era, exploring how AI agents, LLMs, and intelligent infrastructure are redefining the cloud stack.