This letter introduces a novel physics-informed approach for neural network-based 3-D electromagnetic modeling. The proposed method combines standard leap-frog time-stepping with neural network-driven ...

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

This Python library implements Constrained Monotonic Neural Networks as described in: Davor Runje, Sharath M. Shankaranarayana, “Constrained Monotonic Neural Networks”, in Proceedings of the 40th ...

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 ...

Few-shot image classification with graph neural network (GNN) is a hot topic in recent years. Most GNN-based approaches have achieved promising performance. These methods utilize node features or ...

Deadline reports that Aaron Sorkin will write and direct “ The Social Network Part II ” for Sony Pictures. But don’t let the title fool you: Sorkin’s film isn’t a straight sequel to David Fincher’ s ...

FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively. FramePack compresses input contexts to a constant length so that the generation ...

Thanks to the neural network, the researchers now suspect that the black hole at the center of the Milky Way is spinning at almost top speed. Its rotation axis points to the Earth.

It contains every issue of It’s Geek To Me ever written, including one-off columns, such as the work I did for Gannet’s national ION magazine, and welcome/farewell columns to various papers ...