BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

This technical note considers the problem of finding optimal trajectories for a particle moving in a 2-D plane from a given initial position and velocity to a specified terminal heading under a ...

Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art graph learning model. However, it can be notoriously challenging to inference GCNs over large graph datasets, limiting their ...