Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing costly scraping with structured function calls.

Learn how to secure Model Context Protocol (MCP) deployments with post-quantum cryptography and agile policy enforcement for LLM tools.

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.

In using AI to improve efficiency, developers are granting extensive permissions to download content from the web, and read, write, and delete files on their machines without requiring developer ...

The GitHub Copilot SDK turns the Copilot CLI into a cross-platform agent host with Model Context Protocol support.

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Anthropic’s one step closer to having an everything app. Anthropic’s one step closer to having an everything app. is a London-based reporter at The Verge covering all things AI and Senior Tarbell ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...