This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

In diabetes care, AI has propelled the field forward through predictive modeling, decision support, and real-time glycemic ...

Monte Carlo Cross-validation,Neural Network,Neurons In Layer,Online Health,Recurrent Neural Network,Recurrent Neural Network Model,Row Vector,Short-term Memory,Training Set,Training Strategy,Vertical ...

To illustrate how to apply the GPT_GNN framework for arbitrary graphs, we provide examples of pre-training on both hetergeneous (OAG ... field classification task using 10% of training and validation ...

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

Researchers from the Skoltech AI Center, together with colleagues from the Institute for Information Transmission Problems of the Russian Academy of Sciences, have developed a method that allows ...

Researchers have created an AI-powered "digital twin" of the mouse visual cortex that can accurately simulate neural ...

Air Education and Training Command (AETC) last fall implemented a new model, sending student aviators to pilot training schools for fundamentals before they undergo undergraduate training.