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 ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Abstract: Sparsified kernel adaptive filters (SKAFs) is an attractive filtering solution with low memory and computational complexity. Most of existing SKAFs are ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM ... the model addresses issues such as premature convergence ...

To address this challenge, researchers developed SAVANA, a new algorithm which they describe in the journal Nature Methods. SAVANA uses machine learning to accurately identify structural variants ...

In PnP, a powerful denoiser is used as an implicit regularizer in proximal algorithms such as ISTA and ADMM. The focus of this work is on the convergence of PnP iterates for linear inverse problems ...

Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine, and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway 08854, New Jersey, United ...