Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Credit: VentureBeat made with Flux.2 [klein] on Fal.ai The German AI startup Black Forest Labs (BFL), founded by former ...

Abstract: Data augmentation (DA) plays a crucial role in machine learning by improving model generalization and tackling data scarcity issues, particularly prevalent in domains with limited access to ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

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

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

Overview: MongoDB continues to power modern applications, but analytics requires structured, reliable pipelines.ETL tools ...

For years, companies have been moving their most valuable customer data into countless different systems used by marketing, ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

A single server setup is where everything runs on one machine—your web application, database, cache, and all business logic.

Abstract: Today, in the digital moment, when the presence of the Internet in daily life is all around, management of data has become an indispensable part in any kind of organization irrespective of ...