The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at ...

Since the pandemic it has become readily apparent that our global supply chains are very complex, and in some cases, very ...

Funding: AuraML secures $1M pre-seed led by Turbostart to scale generative simulation tech for industrial robotics, enabling ...

An Agentic Approach for SoC Security Verification using Large Language Models” was published by researchers at University of ...

Agentic AI is not a feature — it's the foundation According to Forethought's 2025 AI in CX Benchmark Report, the demand for a multi-agent and multi-channel system is clear.

The MCP AI system is built on a multi-agent architecture where each agent is specialized to perform specific functions. These agents collaborate to tackle complex tasks, using a suite of tools and ...

The challenge we address in this work is the control of complex systems. We consider techno-social systems. Techno-social systems and complex systems share some characteristics like big number of ...

Multi-vendor AI strategy Freshfields' approach to AI involves deliberately maintaining relationships with multiple AI providers rather than betting exclusively on any single platform. This strategy ...

The Agent Development Kit is an open-source framework aimed at simplifying AI agent development designed for multi-agent systems while allowing developers precise control over their behavior.

Google Cloud unveils tools to build multi-agent AI systems as Highmark, Hackensack Meridian forge ahead on AI innovation By Heather Landi Apr 9, 2025 11:00am ...