The quest for efficiency and optimization is a constant pursuit, however with the explosion of artificial intelligence over the last 18 months or so new methods of productivity and now more of ...

Microsoft has quietly made available a new framework that enables development of large language model (LLM) applications using multiple agents that can converse with each other to solve tasks. AutoGen ...

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

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 ...

Enterprises looking to deploy multiple AI agents often need to implement a framework to manage them. To this end, Microsoft researchers recently unveiled a new multi-agent infrastructure called ...

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

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 ...

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

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 ...

Epistemic logic provides a rigorous formal framework for representing and reasoning about the knowledge and beliefs of agents, forming a cornerstone in the study of multi-agent systems. This ...