Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...

Berlin, BERLIN, March 16, 2026 (GLOBE NEWSWIRE) -- POMA AI, a Berlin-based document intelligence company, today released POMA-OfficeQA, an open-source benchmark demonstrating that its structure-aware ...

When standard RAG pipelines retrieve redundant conversational data, long-term AI agents lose coherence and burn tokens.

George Zhang thought OpenClaw could make him rich, even though he didn’t really understand how the viral AI agent software worked. But he saw a video of a Chinese social media influencer demonstrating ...

Chroma’s Context-1 is a 20B retrieval-augmented model that beats ChatGPT 5 on search, using agentic loops to improve relevance at low latency.

One local model is enough in most cases ...

Nvidia is planning to launch an open-source platform for AI agents, people familiar with the company’s plans tell WIRED. The chipmaker has been pitching the product, referred to as NemoClaw, to ...

Nvidia's reported platform will allow companies to dispatch AI agents to perform tasks for their own employees. The platform is expected to include security and privacy tools. The report comes as ...

What happens when you let AI create a game app without touching code? The answer exceeded all my expectations. I’ve been writing about consumer technology and video games for more than a decade at a ...