Fan Wang and Shaoshan Liu introduce the concept of Environmental Embodied AI.

Emerging technologies such as edge computing, AI, and distributed learning have reshaped the design of cyber-physical ...

Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, ...

The Centre for AI in Government (CAIG), with the Institute for Data and AI (IDAI) at the University of Birmingham, hosted the ...

As complements to live strategy sessions, LLM-powered ABMs are easy to use, cheap to deploy, and scalable. As a result, they can facilitate the spread of the successful strategic planning tactics to a ...

Agentic AI and digital twins are reshaping enterprise architecture, enabling dynamic, autonomous governance through real-time ...

Discover how multi-agent collaboration transforms high-stakes operations with AWS insights, predictive analytics, and cloud-based solutions.

A Framework for LLM-based Multi-Agent Reinforced Training and Inference MARTI is an open-source framework for training LLM-based Multi-Agent Systems (MAS) with Reinforcement Learning (RL). It enables ...

Putting it all together Building reliable, scalable multi-agent systems isn’t about finding a magic bullet; it’s about making smart architectural choices based on your specific needs.