In 2026, the intelligence community (IC) is facing an unprecedented challenge, and tactical-level intelligence ...

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.

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.

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, ...

Artificial intelligence has evolved rapidly over the past decade. What started as simple rule-based chatbots has now transformed into powerful AI systems capable of reasoning, planning, and taking ...

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 ...

Open-source artificial intelligence development platform provider Sentient Foundation today announced the launch of The GRID, a “network of intelligence” that is designed to let developers monetize ...

TDX 2026 -- Poggio, the Revenue AI platform that powers seller and agent success, debuted its new Slack app, Salesforce managed package, and MCP integration on AgentExchange. Poggio showcased how its ...

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 ...