XGBoost (eXtreme Gradient Boosting), also not a deep neural network, is a scalable, end-to-end tree boosting system that has produced state-of-the-art results on many machine learning challenges.

Abhinav Vishnu is a chief scientist and team lead for scalable machine learning at Pacific Northwest National Laboratory. He focuses on designing extreme scale Deep Learning algorithms which are ...

At the core of uncovering extreme events such as floods is the physics of fluids – specifically turbulent flows. Researchers leveraged a computer-vision deep learning technique and adapted it ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Deep learning, a subset of machine learning, refers to machine learning that takes place on artificial intelligence neural networks.

Understanding Deep Learning To understand deep learning and how it differs from machine learning, you need to understand neural networks.

Home > Extreme Deep learning algorithm diagnoses skin cancer as well as seasoned dermatologists Remember how that Google neural net learned to tell the difference between dogs and cats?

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them.