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 ...

Researchers introduce BATS and Budget Tracker, two new methods that help agents prioritize high-value actions, cutting API ...

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

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...

According to a Deloitte survey, nearly 60% of the AI leaders and representatives are struggling with adopting AI agents, primarily due to integrating with legacy systems and addressing risk and ...

The Digital Twin Consortium’s new Agent AI Capabilities framework could help contextualize requirements for the agentic fad. It will also expand the agentic conversation beyond LLMs to consider an ...

What if there was a tool that didn’t just assist you but completely redefined how you approach complex tasks? Imagine a system that could seamlessly browse the web for critical data, write detailed ...

What if your AI agents could not only complete tasks but also learn, adapt, and improve on their own? Imagine an agent that refines its outputs with each iteration, collaborates seamlessly with others ...

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

Stanford engineers debuted a new framework introducing computational tools and self-reflective AI assistants, potentially ...