Due to recent advances in digital technologies, and availability of credible data, an area of
artificial intelligence, deep learning, has emerged and has demonstrated its ability and …

Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI)
applications including computer vision, speech recognition, and robotics. While DNNs …

Deep neural networks have been applied in many applications exhibiting extraordinary
abilities in the field of computer vision. However, complex network architectures challenge …

Deep convolutional neural networks (CNNs) have recently shown very high accuracy in a
wide range of cognitive tasks, and due to this, they have received significant interest from the …

As convolution contributes most operations in convolutional neural network (CNN), the
convolution acceleration scheme significantly affects the efficiency and performance of a …

As convolution layers contribute most operations in convolutional neural network (CNN)
algorithms, an effective convolution acceleration scheme significantly affects the efficiency …

Convolutional neural networks (CNNs) have been widely deployed in the fields of computer
vision and pattern recognition because of their high accuracy. However, large convolution …

In the past decade, Convolutional Neural Networks (CNNs) have demonstrated state-of-the-
art performance in various Artificial Intelligence tasks. To accelerate the experimentation and …

Recent trends in deep learning (DL) imposed hardware accelerators as the most viable
solution for several classes of high-performance computing (HPC) applications such as …

Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …