From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

Microsoft CEO Satya Nadella directly equates the future of AI models (foundation/LLMs) to the historical evolution of the ...

Every time we open ChatGPT, Claude, or Gemini, we start from zero. Each conversation, each prompt, each insight erased the ...

A Review of Hydrodynamic Mechanisms, CFD Modeling, and Coastal Engineering Implications Seabed scour caused by propellers is ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

A comprehensive Model Context Protocol (MCP) server providing advanced access to the UniProt protein database. This server offers 26 specialized bioinformatics tools enabling AI assistants and MCP ...