What is just-in-time learning? A customer calls in to ask for a refund. What's the policy for that, again? You can escalate and hope your supervisor picks up quickly, ping a coworker for a tip, or ...

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 ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

The ongoing revolution in deep learning is reshaping research across many fields, including economics. Its effects are especially clear in solving dynamic economic models. These models often lack ...

Abstract: In the realm of modern medicine, the process of liver image segmentation holds immense significance in facilitating precise diagnoses of hepatic diseases. However, this procedure is ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

Deep learning is a branch of machine learning that uses multilayer neural networks to learn hierarchical representations directly from data. Layers of interconnected “neurons” transform raw ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

Human society is coordinated by mechanisms that control how prices are agreed, taxes are set, and electoral votes are tallied. The design of robust and effective mechanisms for human benefit is a core ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.