Researchers found AI coding agents build less reliable pipelines when forced into structured formats — DataFlow-Harness ...

Automate the process of grouping thousands of search queries into coherent topics for faster, more scalable content planning.

This article presents a defense-in-depth approach for securing Model Context Protocol (MCP) deployments in production. It outlines four architectural control layers: safe execution, management ...

Overview Discover essential DSA books that strengthen programming fundamentals, algorithmic thinking, and practical coding ...

Discover what agentic AI is and how AI agents work. Uncover the types of agentic AI systems, their enterprise use cases, underlying risks, and future potential.

Silicate structures are the mineral materials widely studied for their extraordinary structural complexity and versatility. They naturally exhibit self-similarity, making them well-suited for analysis ...

Learn how security graphs map environments and relationships to provide advanced security insights. A security graph is a connected map that shows how users, devices, and activities interact. It ...

Abstract: Multimodal emotion recognition in conversation (MERC) has garnered substantial research attention recently. Existing MERC methods face several challenges: (1) they fail to fully harness ...

Abstract: Topology detection (TD) in the context of power distribution networks (PDNs) is a fundamental requirement for a wide range of applications, such as fault localization and load management.

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...