Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
IEEE

Data-Driven Smart Grid Optimization: Innovative Applications and Performance Graphs of Ai Algorithms in Electricity Load Forecasting

Abstract: With China's economic growth and industrial upgrading, the demand for electricity has increased greatly, posing challenges to the stable operation of the power system. Power load forecasting ...
IEEE

Cambricon-DG: An Accelerator for Redundant-Free Dynamic Graph Neural Networks Based on Nonlinear Isolation

Abstract: Dynamic Graph Neural Networks (DGNNs) have demonstrated significant potential in handling temporal graph-structured data. Typical DGNNs combine GNNs to process the structural information of ...