For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
The legal profession is standing at the edge of one of the most profound transformations in its modern history. In 2026, ...
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...
For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Large Language Models Accelerate Construction of Materials Property Databases TSUKUBA, JAPAN - January 8, 2026 (NEWMEDIAWIRE) ...
Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...
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