AI is moving faster and becoming more diverse than ever. The next competitive advantage may come from a new architecture.

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

In mission-critical environments—think disaster response, financial systems, or supply chain logistics—success hinges on the seamless collaboration of multiple agents, whether they’re humans, machines ...

Enterprises are likely to shift from single-task AI to multi-agent systems, enabling autonomous, adaptive operations, but trust and orchestration remain problematic.

Robotic shepherding and multi-agent systems represent a frontier in the field of autonomous control, where bio‐inspired methodologies and advanced algorithms converge to direct groups of agents in a ...

Nvidia’s latest generation of open models builds on the growing development of multi-agent systems and expands the company’s ...

Simulation modelling has emerged as a vital tool for understanding and managing the inherent complexity of numerous systems, from healthcare and manufacturing to logistics and business operations. By ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

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 ...

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 ...