Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, developed a quantum-driven 3D intelligent model, which is a 3D modeling and image processing system ...

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 ...

A team of researchers led by Anna-Karin Gustavsson at Rice University has developed an innovative imaging platform that promises to improve our understanding of cellular structures at the nanoscale.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As artificial intelligence models grow ever more complex, the challenge ...

A deep learning model may be able to outperform ophthalmologists in predicting neovascular age-related macular degeneration (nAMD) recurrence. Recurrence of neovascular age-related macular ...

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 ...

Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar ...