A functional block diagram (see figure ... Convolutional neural network (CNN): AI architecture specialized for image/pattern recognition, optimized here by the NPU for fault-detection tasks.

Abstract: With the development of convolutional neural networks (CNN) across various domains ... based logic synthesis applied in the architecture of TPU. The proposed 3D-TE, characterized by its ...

Abstract: The Convolutional Neural Network (CNN) is a frequently used algorithm used technique ... types of sparse data obtained via distinct pruning procedures. The design architecture outlined in ...

This approach leads to efficient utilization of FPGA hardware resources while computing all layers in the CNN. The proposed architecture shows performance improvement in the range of $1.4\times $ to ...

May 21, 2025 • We asked some of our trusted critics which upcoming books they are most looking forward to. Here are the fiction and nonfiction titles they picked. November 25, 2024 • Books We ...

Austrian mayor of city hit by school shooting speaks to CNN ...

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With the use of this dataset, we trained a bespoke Convolutional Neural Network (CNN) model, yielding testing, validation, and training accuracies of 89.50%, 92.53%, and 89.58%, respectively.