Update reflects IETF discussions and early adopter feedback, with an open-source MT4/5 implementation of verifiable AI decision audit trails VCP v1.1 demonstrates that verifiable AI audit trails are ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Lossless normalization is a good idea in theory, but it can result in songs sounding different than what the artist or ...

You can use a single factor to express a clear view, or you can combine factors to build portfolios that reflect how markets actually behave, not how we wish they would behave. Growth, value, quality, ...

Whether investigating an active intrusion, or just scanning for potential breaches, modern cybersecurity teams have never had more data at their disposal. Yet increasing the size and number of data ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Good software habits apply to databases too. Trust in these little design tips to build a useful, rot-resistant database schema. It is a universal truth that everything in software eventually rots.