A new Visual Studio Code extension called Nogic sparked a wide-ranging Hacker News discussion, with commenters praising its ...

Abstract: Graph data modeling is nontrivial due to the challenges to ensure model interpretability and handle data uncertainty. While methods derived from deep learning models, such as graph neural ...

Downloadable now across Xbox and PC platforms, the Operation: Infinite update for Halo Infinite is a pretty sizable one. Per usual, this Operation adds a new 100-tier reward track that is available ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

The cloud SIEM is gaining long-term data lake log storage, AI graph visualization, support for MCP, and a way to interact with custom agents built in Security Copilot, but it’s unclear yet whether ...

Fifteen years ago, I introduced the zero-trust security model while working as an analyst at Forrester Research. At the time, cybersecurity was still rooted in perimeter-based thinking, built on the ...

Have you ever felt overwhelmed by the sheer volume of ideas, tasks, and information you need to manage daily? Imagine having a tool that not only organizes your thoughts but also transforms them into ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

Currently, the Graph pattern in Strands Agents only supports Agent or MultiAgentBase instances as nodes. This limitation makes it difficult to implement deterministic ...

we believe that the addition of subgraph and graph visualization features would significantly enhance the user experience, especially for developers working with large, modular, or nested workflows.