Using concepts students are already familiar with — like how bottles vibrate — can serve as a helpful anchor for more complex topics.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In this video, we explain vectors and derivatives as essential math methods used in physics, showing how they describe motion, direction, and change. Clear explanations and examples help connect ...

Students, parents and school principals all instinctively know that some teachers are better than others. Education researchers have spent decades trying — with mixed success — to calculate exactly ...

Rocket Lab Corporation (NASDAQ: RKLB) is positioning itself as an alternative to SpaceX as customers push for more launch capacity. The company is leaning on its growing space systems business and ...

In late 2021, as the housing market overheated and the Federal Reserve’s benchmark interest rate hovered near zero, Tony Yang found an unconventional way to fund his down payment. He logged into his ...

TIOBE Programming Index News – November 2025: C# Closes In on Java Your email has been sent The November 2025 TIOBE Index brings another twist below Python’s familiar lead. C solidifies its position ...

The team demonstrated that even this information-based foundation cannot fully describe reality using computation alone. They used powerful mathematical theorems—including Gödel's incompleteness ...

What if your next DIY project didn’t just teach you new skills but also opened doors to career opportunities? Imagine transforming a few Raspberry Pi devices into a fully functional Kubernetes home ...

The lab automation market is expected to surpass $8.36 billion globally in 2025 and reach $14.78 billion by 2034. Pharmaceutical and biotech companies are making huge investments in lab automation ...

Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality.