IEEE

FPGA-Based Design and Implementation of Processing Element Array for Convolutional Neural ...

Abstract: Convolutional Neural Networks (CNNs) are essential in AI for image tasks like facial recognition and object detection. While they improve accuracy, deploying them on hardware is challenging ...
GitHub

cuda.compute: implement functionality needed for Awkward (jagged) arrays

This meta issue tracks work related to supporting operations on Awkward arrays. A starting point for this effort is the initial example in scikit-hep/awkward#3734. While this functionality can be ...
IEEE

FPGA Implementation of High-Speed Accelerators for CNN Architecture Using 3D Systolic Array ...

Abstract: Convolution Neural Networks (CNNs) are pivotal in image processing. Prominent CNN models include SqueezeNet, MobileNet, Xception, VGG-16, and AlexNet. These models transform 2D data to 1D, ...