While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems ...

Your company culture is the intangible knowledge new employees will absorb over time. But AI agents need all of it, all at once. Here's how to engineer the context.

Discover four remarkable DIY engineering projects in this step-by-step tutorial! Learn how a bicycle is transformed with saw ...

First up, when you evaluate their PE and FE review, the value proposition has to go beyond the price tag. Sure, the cost of failing your exam means another re-take fee, which may seem small in ...

Abstract: This research introduces the Semi-Automated Feature Engineering framework, an approach to addressing the complexity of feature engineering in machine learning. The framework addresses an ...

Abstract: Coronary artery disease (CAD) diagnosis remains a significant contributor to global mortality rates, highlighting the need for novel approaches. Existing CAD diagnostic tools rely on costly ...

Some of Cursor's biggest AI features began as tools engineers built for themselves. Cursor's engineering head says the company has roadmaps, but many of its biggest features were developed bottom-up.

Google’s AI Overviews (AIO) represent a fundamental architectural shift in search. Retrieval has moved from a localized ranking-and-serving model, designed to return the most appropriate regional URL, ...

It may seem that carmakers are selling you the same car again and again, but there are some hidden benefits for consumers and automakers alike. Automakers use badge engineering to save costs by ...

Some say platform engineering has entered its trough of disillusionment phase. A combination of high cognitive load, lack of business alignment, and difficulty encouraging adoption of internal ...

Inat Saleh, an aspiring water supply engineer, captured during one of her classes in the STEM Foundation program under the HEET project. Photo: Athuman Hamisi Issa, Open University of Tanzania. After ...

In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational ...