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

Multi-agentic AI is redefining automation and scalability. Learn how Microsoft helps businesses innovate faster and smarter ...

Framework looks great for scenarios where a 62 percent completion rate is acceptable IBM researchers have released an open source AI agent called CUGA that aspires to automate complex enterprise ...

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 ...

Spacecraft are becoming too complex, too autonomous and too far from Earth to rely on static rules and ground-driven investigation. Multi-agent AI provides a practical, incremental, operationally ...

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

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 ...

Anthropic believes it has solved this issue for its Claude Agent SDK, developing a two-fold solution that allows an agent to work across different context windows.

AI systems can route messages, update records, make decisions, and trigger entire workflows across multiple apps.

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