We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases ...

Understand what tensors are and how they are the fundamental building blocks of data in deep learning frameworks.

Explore five exciting deep learning research trends that could shape the future of AI and machine learning.

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning ...

The overarching objective of this paper is to measure how far state-of-the-art deep learning methods can go at assessing CMRI, i.e., segmenting the myocardium and the two ventricles as well as ...

Microsoft Researchers have introduced BioEmu-1, a deep learning model designed to generate thousands of protein structures per hour. Rather than relying solely on traditional MD simulations, BioEmu-1 ...

There has been extraordinary progress in recent years toward better understanding protein structures using deep learning, enabling the accurate prediction of protein structures from their amino acid ...

New scans of the bottom of the Japan Trench reveal extensive burrow structures and evidence of regular "reset" events that help sea creatures survive in the ocean's deepest reaches.

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 ...

"PepFlow leverages deep-learning to capture the precise and accurate ... human body is directly linked to how it folds, as its 3D structure determines the way it binds and interacts with other ...

AlphaFold3 can perform these calculations because its underlying machine-learning architecture and ... based methods of predicting protein structures and their interactions with other molecules.