Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

The success of real-time digital systems comes from optimizing processing for the most important tasks rather than speeding up overall execution.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line ...

Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder's research team built a new secrets detection method and scanned 5 ...