Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
C&EN

A Deep-Learning Neural Network Potential Accelerated First-Principles Study on the Structural Changes Modulated by Methylation and Solvation in 27 Protonated Tripeptides

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Exploring low-energy conformers of tripeptides with different side chains using ...
C&EN

Bridging the Gap: Using Machine Learning Force Fields to Simulate Gold Break Junctions at Pulling Speeds Closer to Experiments

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The properties and dynamics of gold nanowires have been studied for decades as an ...
IEEE

A Dual-Driven Deep Learning Model with Local Structure Physical Scattering Characteristics and Fine-Grained Image Features for SAR Ship Recognition

Abstract: In recent years, synthetic aperture radar (SAR) ship recognition based on deep learning has received extensive attention and research. The accuracy and reliability of the recognition model ...
IEEE

Analysis of Seismic Elastic Steel Structures Using a New Hybrid Optimization Deep Learning Model

Abstract: The traditional seismic elastic analysis model for steel structures suffers from insufficient performance. This study proposes a deep feature learning network model. The model combines a ...
Medical Xpress

New deep learning model enhances handheld 3D medical imaging

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...
Microsoft

Scalable emulation of protein equilibrium ensembles with BioEmu

Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. Microsoft Research AI for Science introduces ...
GitHub

Multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determination

Cryo-electron microscopy (cryo-EM) is a key technology for determining the structures of proteins, particularly large protein complexes. However, automatically building high-accuracy protein ...
Carnegie Institution for Science

Structure and properties of alkali aluminosilicate glasses and melts: Insights from deep learning

Aluminosilicate glasses and melts are of paramount importance for geo-and materials sciences. They include most mag-mas, and are used to produce a wide variety of everyday materials, from windows to ...