Efficient Machine Learning Models for In-Network Traffic Classification
One use case of SmartNICs includes the offloading of machine learning models to perform inference on incoming network traffic for in-network traffic analysi...
One use case of SmartNICs includes the offloading of machine learning models to perform inference on incoming network traffic for in-network traffic analysi...
Communication systems play a critical role in connecting the distributed components of AI, enabling them to work together seamlessly. At the same time, AI e...
Deploying machine learning on resource constrained devices such as microcontrollers, especially in remote environments presents significant challenges. We e...
With ever-increasing amounts of data flooding our networks, we have seen a rise in the need for technology and infrastructure that would allow us faster and...
Traditional power grids generally carry power from a few central generators to a large number of users or customers. A Smart Grid represents a transformativ...