MIT engineers have developed a training method for multiagent systems, enabling drones to safely operate in crowded ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient ...

PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient ...

Parking charges on land next to a multi-storey car park in North Wales ... who have introduced the charges - say they are managing agent for the entire site, both the indoor section and the ...

Prompt injection in multi-agent systems occurs when malformed input is introduced into one model and spreads to others within the system. These injections can lead to harmful outputs, such as the ...

Leveraging NVIDIA’s cutting-edge research, SuperNet enhances multi-agent collaboration, creating smarter, user-friendly AI systems powered by a revolutionary super operating system. Built on an ...

Adopting advanced AI technologies, including Multi-Agent Systems (MAS ... A hybrid relational and NoSQL database system efficiently handles structured and unstructured data. Agents for Image Analysis, ...

Abstract: This study presents a novel Multi-Agent Reinforcement Learning (MURL) architecture for autonomous vehicle (AV) navigation in complex urban traffic environments. By integrating a Social Value ...

“It is very very clear AI agents is probably the next robotics industry and likely to be a multi-trillion dollar opportunity,” Huang said. Nvidia also introduced Llama Nemotron, a large language model ...