Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

CLA is a simple toy library for basic vector/matrix operations in C. This project main goal is to learn the foundations of CUDA, and Python bindings, using ctypes as a wrapper, through simple Linear ...

As the AI arms race intensifies and the costs of vendor lock-in rise, a new class of challengers is stepping into the ring to loosen Nvidia’s grip on AI computing. Legacy tech companies such as AMD ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Welcome to the Pillars of AI Application Libraries: How to Install Tutorial! 🤖 Are you ready to embark on a journey of installing AI libraries and applications with ease? 💻 In this video, we'll ...

Trying to get your hands on the “Python Crash Course Free PDF” without breaking any rules? You’re not alone—lots of folks are looking for a legit way to ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

The CUDA toolkit is now packaged with Rocky Linux, SUSE Linux, and Ubuntu. This will make life easier for AI developers on these Linux distros. It will also speed up AI development and deployments on ...

Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...