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

To a layperson, technology and biological life may seem like opposite poles. However, the tech industry regularly draws lessons from living organisms, striving to build tools and systems that not only ...

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.

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, ...

What are Agent Wallets? Know the "Smart Bridge" combining AI decision-making with blockchain security. Explore use cases in ...

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 ...

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.

Agentic AI is on the rise: By 2028, 33% of enterprise software will include agentic AI, enabling autonomous decision-making and task execution across digital environments. Traditional access controls ...

Europe demonstrates steady growth shaped by regulatory frameworks such as GDPR and the EU AI Act. Adoption is focused on sovereign AI agents that ensure patient data remains within national borders, ...