Museum of the Moving Image will showcase a 'Clayography in Motion: Adam Elliot’s Memoir of a Snail' exhibit starting Dec. 20.

NVIDIA introduces GPU acceleration for NetworkX using cuGraph, offering significant speed improvements in graph analytics without code changes, ideal for large-scale data processing.

Using these graph networks, asymmetry in stock index motion can be measured using concave or convex indicator distributions or expected returns that are conditional on node degrees, instead of the ...

This is the implementation of the Graph Attention Structure-from-Motion (GASFM) architecture, presented in our CVPR 2024 paper Learning Structure-from-Motion with Graph Attention Networks. The ...

An object-pose estimation acceleration technique for picking robot applications by using hierarchical-graph-reusing k-nearest-neighbor search (k-NN) has been developed. The conventional picking robots ...

This paper intends to propose a solution for the transient regime study at asynchronous motor, using a PLC control. The solution allows adjusting the acceleration, the deceleration, the speed, the ...

Forward-looking imaging for maneuvering platforms has garnered significant interest in many military and civilian fields. As the maneuvering trajectory in the scanning period can be simplified as the ...

A PyTorch-based library for embedding large graphs to low-dimensional space using force-directed layouts with GPU acceleration. The aim of this project is to speed up the process of obtaining ...

If millions of these tiny circuits could be built on a 1-millimeter by 1-millimeter chip, they could serve as a low-power battery replacement. The system seems to be energy harvesting from Brownian ...