I’ve received one of AMD’s first official AI developer boxes for testing, and it’s an impressive piece of AI hardware with a ...

LLVM-generated code is used every day by billions of people on billions of devices—an outcome that can be clearly traced to research funded by the U.S. National Science Foundation (NSF) starting in ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and the model that actually runs efficiently at scale. TensorRT exists, ...

NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into clear and simple charts, making it easier to spot trends and share insights.

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

Learning Python on your Android device is totally doable these days. Gone are the days when you needed a full computer setup. Whether you’re just starting out or want to code on the go, there are some ...

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 ...