The field of control systems and multi-agent dynamics encompasses a sophisticated blend of theory and practice, designed to manage the behaviour of interconnected systems ranging from large-scale ...

Disturbance exists everywhere in most real networks and systems, and in most cases, has a negative effect on system performance. Disturbance can be modeled from environmental interference, measurement ...

Git-native, multi-model AI agent framework giving Fortune 50/100 CIOs a central control plane, converting any agent ...

But in practice, prompt iteration has historically felt disjointed and slow. Makers previously balanced their flow of work ...

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

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Multi-agent AI is rapidly gaining traction, and one big ...

Drones are not the only autonomous vehicles at the forefront of automating deliveries and human services — ships may be about to turn the corner, assisted by helpful tugboats. Researchers at the Delft ...

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 ...