Training today’s largest neural networks is limited by backpropagation’s sequential updates and Graphics Processing Unit (GPU) bound compute and energy, slowing scaling. We demonstrate a hybrid ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Drone images have allowed researchers to explore new questions due to their incredible spatial resolution. Ironically however, the level of detail renders traditional image analysis methods largely ...

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...

Joe Grantham is a contributor from the UK with a degree in Classical Studies. His love for gaming is only rivaled by a deep passion for medieval history, which often seeps into his articles. With over ...

Deep learning, a branch of artificial intelligence (AI), imitates human thinking and learning by enabling computers to learn from data examples. At its foundation are ‘artificial neural networks,’ ...