By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Global pop star Ed Sheeran is selling a collection of Jackson Pollock-inspired paintings that he made in a carpark.

Today on Tracking the Tropics, National Hurricane Center Science Operations Officer Wallace Hogsett, Ph. D. sits down with our team to answer your questions about how AI factors into the ...

Bypassing the endless figuration-versus-abstraction debate, a trend in blurred painting techniques has emerged. In these ...

A deep convolutional neural network is used to extract high-order morphological features from binary images to distinguish textured microstructures from untextured microstructures. The convolutional ...

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study ...

Camouflaged objects often blend in with their surroundings, making the perception of a camouflaged object a more complex procedure. However, most neural-network-based methods that simulate the visual ...

Next, unlike conventional physics-informed neural networks that only utilize macroscopic physical information, we constrain the training of the neural network by using dynamic metabolic flux analysis ...

First, to address the ambiguity of the dynamic network terminology we establish a foundation of dynamic networks with consistent, detailed terminology and notation. Second, we present a comprehensive ...