Abstract: The transition to large-scale new energy systems has greatly increased the complexity, volume, and multidimensionality of power data in the cloud, making data management more challenging and ...
All eyes are on the chip maker as it prepares a full-court press into a new process technology, spearheaded by chips for ...
Abstract: Convolution serves as a foundational component enabling Deep Neural Networks (DNN) to extract meaningful features from input data. This paper focuses on the real-time architecture of a ...