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 ...

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

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...

Atlas, an artificial intelligence-native video game content creation platform, announced today that it has launched a multi-agent system within its AI Studio for game asset production. Atlas AI Studio ...

The large language model automates literature search, synthesis, and structural analysis to speed up materials discovery and ...

As vehicle architectures evolve toward centralized and software-defined systems, automotive developers require flexible toolchains that support heterogeneous hardware platforms, modern programming ...

Researchers hope to expand the tool to other areas, including climate science Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and ...

Meta says that Moltbook's approach to "connecting agents through an always-on-directory" is novel.

Nvidia is planning to lean into the agentic AI craze and launch an open-source platform for AI agents called 'NemoClaw,' according to a report.

Microsoft's Agent 365 helps you spot risky AI agents before they cause trouble - here's how ...

GPT-5.4 is out now on ChatGPT (where it goes by the name GPT-5.4 Thinking) as well as on the OpenAI API and OpenAI’s coding ...

Agentic AI is changing the enterprise security model. Experts explain emerging risks, governance challenges and how leaders ...