Tufin will showcase these exciting new agents along with its other TufinAI-powered capabilities and its vision for Multi-Vendor Agentic Network Security, at the upcoming RSA Conference 2026 (RSAC), ...

Abstract: Graph-based approaches have been widely adopted in biomedical applications for modeling multimodal data, particularly in the accurate diagnosis and effective treatment of brain disorders.

A lightweight, extensible workflow engine built using FastAPI. This backend allows you to define graphs of processing nodes, execute them as workflows, log every step, and retrieve the results via ...

Macroeconomics studies an overall economy or market system, its behaviors, the factors that drive it, and how to improve its performance.

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...

Graph neural networks (GNNs) have emerged as powerful tools for capturing complex interactions in real-world entities and finding applications across various business domains. These networks excel at ...

ABSTRACT: Living objects have complex internal and external interactions. The complexity is regulated and controlled by homeostasis, which is the balance of multiple opposing influences. The ...