news.ucsb.edu

Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
GEN

Protein Dynamics Predicted Rapidly with Generative AI Model, BioEmu

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
EurekAlert!

Introducing BioEmu: A generative AI Model that enables high-speed and accurate prediction of protein structural ensembles

Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...
GEN

Generative AI Model, ChromoGen, Rapidly Predicts Single-Cell Chromatin Conformations

Every cell in a body contains the same genetic sequence, yet each cell expresses only a subset of those genes. These cell-specific gene expression patterns, which ensure that a brain cell is different ...
News Medical

Generative AI model scans emergency notes to identify high-risk avian influenza exposures

Researchers from the University of Maryland School of Medicine developed a new and highly effective application of an artificial intelligence (AI) tool to quickly scan notes in electronic medical ...