Boston's pioneering experiment with MCP is laying the groundwork for an 'agentic middleware' for local government, expanding access to public services.

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

In this Python Physics lesson, we explore modeling current as a function of time in RC circuits. Learn how to simulate the charging and discharging behavior of resistors and capacitors using Python, ...

Qwen3.5 comes in an open-weight and hosted API version, with the company advertising improvements in performance and costs from previous versions. Qwen3.5 supports new agentic capabilities and is ...

At the Cisco Live EMEA event going on in Amsterdam this week, Cisco unveiled a range of updates across its networking and security portfolio that are aimed at helping customers tap agentic AI ...

Abstract: The growing demand for high-bandwidth, zero-trouble services is imposing unprecedented challenges on optical communication networks. Traditional human-centric network management approaches ...

In this video, we model debris from a crater explosion using Python physics, simulating how fragments launch, spread, and follow projectile motion over time. Learn how to set up initial conditions, ...

According to God of Prompt on Twitter, MCP (Model Context Protocol) has rapidly gained prominence as the leading interoperability standard in the AI industry, enabling seamless communication between ...