When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

For all the progress made by large language models, most AI systems still share a fundamental weakness. They are static. Once trained, they rely on fixed behaviors and rigid tool use, which limits how ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The MarketWatch News Department was not involved in the creation of this content. Sophie, an AI developer agent, turns standard operating procedures into automated workflows that run across enterprise ...

JPLoft advances enterprise automation with intelligent AI agents that streamline operations, enhance decision-making, ...

Most conversations around agentic AI today focus on screen-based applications. These include virtual assistants, copilots and tools designed to process information or automate simple digital tasks.

Artificial Intelligence (AI) is often discussed in broad terms, with promises of transformation at scale. In practice, however, its value is realized in far more specific ways – when it is applied to ...

Sophie, an AI developer agent, turns standard operating procedures into automated workflows that run across enterprise systems. It combines internal company data with external intelligence and records ...