Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

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 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 ...

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 ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

M. Hadi Amini has received funding for researching security of transportation systems from U.S. Department of Transportation. Opinions expressed represent his personal or professional opinions and do ...

Many small businesses use AI, but have you ever wondered how they work and where AI models get their data from?