Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

AI is now a part of our everyday lives. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of ...

At the cost of duplicate code, we make all implementation details of a DRL algorithm variant easy to understand, so CleanRL comes with its own pros and cons. You should consider using CleanRL if you ...

Abstract: There is a substantial demand for deep learning methods that can work with limited, high-dimensional, and noisy datasets. Nonetheless, current research mostly neglects this area, especially ...

ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework.

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in ...