Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead by 67% compared to screen scraping.

Instead of each AI integration being custom-coded for every app, MCP provides a shared standard, so MCP-compliant systems can ...

Master Monte Carlo simulations to calculate the electric field of a charged sphere in this detailed Lesson 25 tutorial! ⚡📊 Learn how to use computational techniques to model complex physics problems, ...

People.ai's SalesAI Platform now brings in structured and unstructured interaction data through MCP integration.

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...

W3C proposal backed by Google and Microsoft allows developers to expose client-side JavaScript tools to AI agents, enabling ...

Until recently, the idea that a shopper could describe what they wanted in plain language, get curated options, and complete a purchase all inside a single artificial intelligence chat window felt ...

The world’s most popular programming language is losing market share to more specialized languages such as R and Perl, Tiobe ...

This project implements a Backend Framework for automated market research using an Agentic AI architecture. Multiple AI agents collaborate in a linear pipeline to generate a structured Market ...

OpenClaw's rapid rise highlights growing interest in AI agents beyond chatbots. Its open-source design has accelerated adoption from Silicon Valley to China. Moltbook adds to OpenClaw’s buzz by giving ...

The core use case of this Proof of Concept (PoC) revolves around a banking personal assistant designed to revolutionize the way users interact with their bank account information, transaction history, ...