Artificial intelligence is becoming increasingly vital to everyday activities across diverse sectors of society, from AI assistants to autonomous vehicles ...

In the minds of many people, math lives in the classroom—on blackboards, in textbooks, and in tests. New research from Amber Simpson, associate professor in the Department of Teaching, Learning, and ...

A breakthrough from an OpenAI model would have meant nothing without humans to make sense of it.

Math illuminates how traffic flows, how our cells build proteins and even how to speed up medical imaging scans. Some worry ...

The power of Python trumps Excel workbooks.

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

We measured traffic noise in 25 homes across Singapore for a Straits Times interactive story. Here is how the data was collected and how we visualised it, as well as the science behind noise. In March ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

NumPy is foundational for numerical data processing in Python, providing efficient multi-dimensional array objects essential for handling datasets. It supports fast mathematical and logical operations ...

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs giving users full access to all features offered by NVIDIA's ...

The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 projects. Mastering a mix of data, AI, and web-focused libraries ensures adaptability across multiple ...