Inside Claude-Flow: Using Multi-Agent AI to Modernize Legacy Applications Faster Your email has been sent Multi-agent AI orchestration frameworks like Claude-Flow help teams modernize legacy ...

Nemotron 3 models, offered in Nano, Super and Ultra, use hybrid latent mixture-of-experts architecture for scaleable ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Microsoft has revealed its strategic vision for AI agents, focusing on multi-agent systems with persistent memory capabilities designed to revolutionize enterprise workflows. The technology giant’s ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

Espressif has just introduced the ESP Private Agents platform design to help developers build local, private, and ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic ...

As AI agents gain greater autonomy, they also increase risks for organizations. The explosive rise of generative models, ...

Agentic AI is being adopted fast by enterprises, propelled by an explosion of use cases, but security, as always, is lagging.

What if machines could not only think but also act—independently, intelligently, and in real time? From coordinating disaster relief efforts to predicting crop yields with pinpoint accuracy, AI agents ...