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

CRN rounds up seven new, cutting-edge AI chips from Nvidia and rivals such as Google and AMD that have been released recently ...

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

In the age of AI, what gets measured gets automated. As models grow more powerful, any task that can be turned into data—from ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

Abstract: Deep neural networks usually benefit from unsupervised pre-training, e.g. auto-encoders. However, the classifier further needs supervised fine-tuning methods for good discrimination. Besides ...

In this paper, we develop a deep learning network to make personalized predictions of their behaviors among a list of potential choices. The architecture of this model combines each user's features ...

Large language models (LLMs), when trained on extensive plant genomic data, can accurately predict gene functions and regula ...