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

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

While these traditional methods yield highly accurate results, they have been too resource-heavy to run real-time on mobile. But as mobile hardware advances, Machine Learning (ML) techniques, ...

Discover the 20 best neural network software. Learn about the features of each software and find the best one. ... One of the key features of MXNet is its dynamic computational graph, ...

Researchers from Nanjing University of Science and Technology have developed a novel computational method called ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...