An algorithm and software tool automating the annotation of subcellular features in cryo-electron tomography data is presented.

Convolutional neural networks (CNNs) are a type of neural network that is designed to capture increasingly more complex features within its input data. To do this, CNNs are constructed from a ...

Convolutional Neural Networks for MNIST Data Using PyTorch Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to ...

By interpreting neural networks, it is possible to uncover the black box, providing explanations to support a transparent and reliable use of ML.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

Phase-Functioned Neural Networks for Character Control is a fundamentally new way of handling character animation that will be presented at the ACM's upcoming SIGGRAPH conference this summer.

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory ...