When these neural networks were asked to generate an image or a word that they would put in the same category as a specific input, such as a picture of a bear, most of what they produced was ...

A tool for checking the output of neural networks makes finding errors as easy as spotting mountaintops from an airplane. (Purdue University image) WEST LAFAYETTE, Ind. – In the background of image ...

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 ...

Recurrent neural networks are a classification of artificial neural networks used in artificial intelligence (AI), natural language processing (NLP), deep learning, and machine learning. They process ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

In the background of image recognition software that can ID our friends on social media and wildflowers in our yard are neural networks, a type of artificial intelligence inspired by how own our ...

A new tool, based on topology, makes finding the areas where neural networks are confused as simple as spotting mountaintops from an airplane. The ability to spot and address those areas of confusion ...