This study introduces a ionospheric amplitude scintillation simulator based on neural networks, utilizing autoencoders ... the temporal relationships observed in historical data by the generator. The ...

This method converts multiple raw images into a representative profile diagram by capturing the most relevant ... Separate convolutional neural network (CNN) models are utilized to identify tactile ...

AI servers are used for training and deploying machine learning models, executing neural networks for tasks like image and speech recognition, analyzing and understanding human language ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Neural Network Compression Framework (NNCF) provides a suite of post-training and training-time algorithms for optimizing inference of neural networks in OpenVINO™ with a minimal accuracy drop. NNCF ...