A team of researchers has developed an innovative Decoupled Feature Learning (DFL) framework to address distribution bias in crop pest recognition. The framework uses…
Browsing: Deep Learning Models
This article discusses the use of graph neural networks (GNNs) in representing biological data and their applications in predicting isoform function, RBP binding sites,…
This article discusses the increasing use of machine learning, specifically deep learning models, in remote sensing applications. It highlights the benefits of these models,…
Tensor Processing Units (TPUs) are specialized hardware designed specifically for accelerating machine learning tasks. They offer purpose-built architecture, high performance, energy efficiency, and seamless…
DRAGONFLY is a new tool for molecular design that utilizes a drug-target interactome and deep learning models to generate ligand- and structure-based designs. The…
Chinese researchers have developed a new framework to train machine learning models with prior knowledge, such as the laws of physics, in order to…
AIT, Austria’s largest research and technology organisation for applied research, is looking for an intern to work on a project to develop a secure…
This article discusses the two main categories of epidemic prediction: traditional statistical models and deep learning models. Traditional statistical models such as the Susceptible-Infective-Recovered…