Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

Improving Convolutional Neural Networks at the Edge Sept. 15, 2022 Artificial intelligence and more specifically, machine learning, with human augmentation requires a thorough strategy to achieve ...

GNNs extend the foundational ideas of Convolutional Neural Networks (CNNs) to graph data. While CNNs capture spatial locality in grid-like data (for example, images) through convolutional kernels, ...

Convolutional neural networks expect a grid that represents the different dimensions of the data they process (e.g., width, height, and color channels of images).