Designing Reactive AI With Spiking Neural Nets

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.
Physics World

Hybrid deep-learning model eases brachytherapy planning

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
IEEE

Dual Graph Convolutional Networks for Social Network Alignment

Abstract: Social network alignment aims to discover the potential correspondence between users across different social platforms. Recent advances in graph representation learning have brought a new ...
IEEE

A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits

Abstract: This article proposes a quantum spatial graph convolutional neural network (QSGCN) model that is implementable on quantum circuits, providing a novel avenue to processing non-Euclidean type ...
GitHub

Text-Derived Relational Graph-Enhanced Network

Abstract: Skeleton-based Temporal Action Segmentation (STAS) aims to segment and recognize various actions from long, untrimmed sequences of human skeletal movements. Current STAS methods typically ...