Conventional chatbots offer a simple cost structure: a user sends in a prompt, the model generates a response, and the… Read More ...

Hello, this is Masaki.The progress of generative AI has long been measured by 'how naturally it can write text.' A model has ...

When providing data to agents, it has traditionally been thought of as material for 'having the agent research on behalf of a ...

opencodex is a pretty neat tool that works by proxying ChatGPT Desktop; you open the web UI, set up your models, and restart ...

Paper2Agent, published in Nature on September 16 by Stanford researchers, converts static research papers into callable AI agents via MCP servers in 45 minutes for $14. The system validates tools ...

Intel’s Xeon processors integration capabilities in AI inference and Agentic AI for customers enhance performance metrics. Read why INTC stock is a hold.

If you want to use AI with Linux, here are your best options I've tested.

If you ask the invoice API for invoices, it can return invoices; it does not need access to everything else in the accounting ...

Chris Wolf explains how enterprise private AI has evolved from early hype to practical platform decisions around open runtimes, virtualization tradeoffs, cost controls, and governance for agentic ...

Google opened early access to Home MCP on September 16, 2026, a Model Context Protocol server that lets AI agents monitor ...

The Model Context Protocol gives AI applications a standard way to discover and use tools, data, prompts, and other capabilities. This guide explains MCP's architecture, primitives, security ...

Google is opening its smart home to AI agents like Claude. Via Home MCP, they control devices and evaluate camera events.