Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

The platform that makes advanced data science accessible with Graph Neural Networks and Predictive Query Language.

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...