Hence, it is critical to determine where the popular contents are cached cooperatively. To address these issues, we propose a cooperative edge caching scheme based on elastic federated and multi-agent ...

An AI agent, combined with a model context protocol (MCP), can create more contextual AI systems that can perform a wide ...

Welcome to the Multi-Agent Custom Automation Engine solution accelerator, designed to help businesses leverage AI agents for automating complex organizational tasks. This accelerator provides a ...

In just three years since AI became widely accessible, we’ve entered a new era. One where AI drives decision-making. One ...

Intuit and American Express detailed how their companies are embracing agentic AI to transform customer experiences, internal workflows and core business operations.

Agent-based model predictive control (AMPC) has recently been proposed as a distributed scheme that collaborates with all agents to achieve optimal holistic performance. However, its optimality highly ...

AI agents take the power of generative AI a step further by working alongside you or even on your behalf, and they can be built and used by anyone.

From outbreaks to response: How agent-based models are revolutionizing epidemic control Traditional epidemic modeling techniques, including compartmental, network, and temporal models, have ...

Agents based on large language models leverage tools to modify environments, revolutionizing how AI interacts with the physical world. Unlike traditional NLP tasks that rely solely on historical ...

Industrial enterprise applications vendor IFS has acquired TheLoops, a Silicon Valley based startup with a versatile AI agent platform.