It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

Using a convolutional encoder-decoder based architecture, we show that a well trained neural network can learn spatio-temporal traffic speed dynamics from time-space diagrams. We demonstrate this for ...

In a leap forward for genetic and biomedical research, two scientists at the University of Missouri have developed a powerful ...

Abstract: Recently, the hybrid deep neural network (DNN)-hidden Markov model (HMM) has been shown to significantly improve speech recognition performance over the conventional Gaussian mixture model ...

In a major leap forward for genetic and biomedical research, scientists have developed a powerful new artificial intelligence tool that can predict the 3D shape of chromosomes inside individual cells ...

Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such as image classification, object detection, and image ...