An agent can produce a mathematically elegant, third-normal-form schema that is functionally irrelevant because it fails to capture the political or operational nuances of the organization. Deploying ...

Multi-agent systems (MAS) comprise networks of autonomous entities that interact to achieve individual or collective goals. In the face of increasing system complexity and uncertainty, formal ...

We're seeing AI evolve fast. It's no longer just about building a single, super-smart model. The real power, and the exciting frontier, lies in getting multiple specialized AI agents to work together.

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Healthcare AI is growing up: instead of one massive model, 2026 favors teams of smaller, specialized models that collaborate, explain themselves and stay compliant. The early adoption pattern of ...

Tech industry visionaries foresee a fundamental shift in network intelligence. Microsoft CEO Satya Nadella envisions humans collaborating with AI agent swarms, while Nvidia CEO Jensen Huang projects a ...

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 ...

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 ...