The problem with rolling your own AI is that your system memory probably isn’t very fast compared to the high bandwidth ...

Dive into The Register's online archive of incisive tech news reporting, features, and analysis dating back to 1998 ...

Effective data modeling enables value creation, efficiency gains, risk reduction, and strategic alignment in an environment of uncertainty and disruption. At Data Summit 2026, Pascal ...

GitHub has introduced a significant update to its CodeQL engine, enabling developers to define custom sanitizers and ...

Modern data analytics and AI infrastructure depend on one simple truth: useful data must move fast, stay available, and ...

By putting the weights of a highly capable, 33B-parameter agentic model in the hands of researchers and startups, Poolside is ...

The DigitalOcean AI-Native Cloud is engineered for the four shifts redefining production AI: the rise of inference over training, reasoning models as the default, autonomous agents at scale, and ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the right vector database can make or bre ...

Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

An AI lab called Fundamental emerged from stealth on Thursday, offering a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by ...