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 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 ...

An NIH-funded project leverages advanced synapse imaging to monitor real-time neuronal changes during learning, unveiling new ...

The Federal Circuit ruled, in a case of first impression, that the machine learning patents at issue were ineligible under 35 ...

New research reveals that individual neurons follow multiple learning rules simultaneously, challenging the long-held belief that synaptic plasticity operates uniformly throughout the brain.

Researchers found that the local release of dopamine – a molecule best known for its role in the brain’s reward system – is a ...

Given a family of ResNets, we can construct a Pareto frontier of the tradeoff between accuracy and number of parameters: Han et al. posit that we can beat this Pareto frontier by leaving network ...

Arrhythmia Detection,Arrhythmic Events,Atrial Fibrillation,Clock Frequency,Deep Neural Network,ECG Signals,Hardware Implementation,Heart Rhythm,Lookup Table,Monte ...

September 5, 2018 - Advisory (PDF) Prevention of Perinatal HIV in Maine - ...