The AI agents built on these models are becoming increasingly capable specialists that can perform tasks independently. But when they try to work together in multi-agent systems, they cannot think ...

Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and answering questions in natural language, such as English, about data from ...

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking ...

Smarter document extraction starts here.

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

OpenAI has finally launched a Windows version of its Codex app, bringing its AI-powered coding assistant to a broader developer base. This tool will allow developers to coordinate with multiple AI ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Activity on the Reddit-style social network for OpenClaw agents raises serious cybersecurity and privacy concerns.

Ramen, developer of Aura, has released Aura 12.0 beta, the latest iteration of the best-in-class multi-agent AI assistant for Unreal Engine, which launched this January. Aura 12.0 introduces enhanced ...

Qwen3.5 comes in an open-weight and hosted API version, with the company advertising improvements in performance and costs from previous versions. Qwen3.5 supports new agentic capabilities and is ...

Abstract: Multi-agent systems have become a research focus in the control field due to their ability to complete complex tasks that single agents cannot achieve independently, with state ...