Nvidia Corporation unveils a major CUDA update to counter Triton, boosting GPU programming and solidifying its AI software ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's ...

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...

00 - PyTorch Fundamentals Many fundamental PyTorch operations used for deep learning and neural networks. Go to exercises & extra-curriculum Go to slides 01 - PyTorch Workflow Provides an outline for ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...

If you want to cut your study time, using the Feynman Technique is a great way to do it. Named after the physicist Richard Feynman, it revolves around explaining a concept in simple language as if you ...

Giannis Antetokounmpo is as beloved a superstar as exists in the NBA. Milwaukee Bucks fans adore him, but they also know he doesn't mind stirring the pot and applying leverage on the front office ...

Abstract: Humans can quickly learn new concepts with limited experience, while not forgetting learned knowledge. Such ability in machine learning is referred to as few-shot class-incremental learning ...

Abstract: this research explores the vulnerability of convolutional neural networks (CNNs) to adversarial attacks, with a focus on the Fast Gradient Sign Method (FGSM) as a baseline threat model. The ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...