AI agents now operate across enterprise systems, creating new risk via prompt injection, plugins, and persistent memory. Here ...

Researchers found that interest in AI agents has undoubtedly skyrocketed in the last year or so. Research papers mentioning ...

A complete demonstration of Google ADK's Visual Agent Builder, showcasing how to build complex multi-agent systems through natural language conversation with an AI Assistant. This research agent uses ...

Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

A comprehensive toolkit for working with the Model Context Protocol (MCP), providing seamless integration between AI agents and various data sources, APIs, and services. Whether you're building, ...

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...

Abstract: In this paper, we present an agent-based modeling framework for Unmanned Aerial Vehicle (UAV) operational risk assessment to support large-scale unmanned flights at low altitudes. The main ...

Google has added agentic vision to Gemini 3 Flash, combining visual reasoning with code execution to "ground answers in visual evidence". According to Google, this not only improves accuracy, but more ...

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...