Cellular electron cryotomography (CryoET) is the dominant technique for studying the structure of interacting, dynamic complexes in their native cellular environment at nanometer resolution. While ...

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

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 sequence ...

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. Neural networks are the ...

Machine learning (ML) is a subset of artificial intelligence (AI) techniques that have shown great potential in solving challenging tasks in multimedia content processing. In the BBC Research & ...

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, attention ...