Accurately modeling the electronic structure of water across scales, from individual molecules to bulk liquid, remains a grand challenge. Traditional computational methods face a critical trade-off ...

The company has integrated the AI model into its internal discovery pipeline and aims to use it in collaborative drug discovery programs.

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

In this episode, senior researcher Hongxia Hao, and physics professor Bing Lv, join host Gretchen Huizinga to talk about how they are using deep learning techniques to probe the upper limits of heat ...

Exploring the Minicat 51 with a twist: understanding why its own maker had concerns.

A novel universal deep learning model for segmentation of automated optical inspection images for both PCBA and semiconductor components.

Microsoft Research has introduced BioEmu-1, a deep-learning model designed to predict the range of structural conformations that proteins can adopt. Unlike traditional methods that provide a ...

In conclusion, RhoFold+ is a deep learning-based RNA 3D structure prediction tool that integrates an RNA language model pretrained on 23.7 million sequences. It offers a fully automated, ...

Researchers introduce RhoFold+, a groundbreaking deep learning model that predicts RNA 3D structures with unprecedented accuracy and efficiency, addressing critical challenges in structural biology.