Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...
This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...
Gonzalo Arce College of Engineering — Electrical and Computer Engineering arce@udel.edu Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...