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A Flexible and Energy-Efficient Accelerator for Graph Convolutional Neural Networks

Researchers at GW have invented a flexible and energy-efficient accelerator for graph convolutional neural networks (GCN). First, the novel accelerator design disclosed shows highly enhanced performance in comparison to existing accelerators. For example, the accelerator is capable of simultaneously improving resource utilization and data movement in...

Published: 1/7/2022 | Updated: 12/17/2021 | Inventor(s): Ahmed Louri, Jiajun Li

Keywords(s):

Category(s): Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Computing Architecture

An Algorithm-Hardware Co-design Method for Convolutional Neural Networks

Researchers at GW have developed an algorithm-hardware co-design framework for Convolutional Neural Networks (CNN) directed towards mitigating the effects of computational irregularities in existing models. The framework disclosed allows for a reduced model size as to the associated system. For example, the algorithm disclosed utilizes centrosymmetric...

Published: 1/7/2022 | Updated: 12/17/2021 | Inventor(s): Jiajun Li, Ahmed Louri

Keywords(s):

Category(s): Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Artificial Intelligence

PMU-Embedded Analytics for Online Event Detection and Classification in Power Grids

Researchers at The George Washington University are developing innovative analytics for power grid online surveillance (event detection and classification with minimum latency) and real-time situational awareness. The novel analytics can be deployed as a stand-alone next-generation smart sensor or can be embedded within the existing phasor measurement...

Published: 1/7/2022 | Updated: 10/6/2021 | Inventor(s): Payman Dehghanian, Shiyuan Wang, Li Li

Keywords(s):

Category(s): Technology Classifications > Industrial or Consumer Tech > Energy Infrastructure and Environment