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 ...

To achieve this, we pose chip floorplanning as a reinforcement learning problem, and develop an edge-based graph convolutional neural network architecture capable of learning rich and transferable ...

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).

Jay M. Newby, Alison M. Schaefer, Phoebe T. Lee, M. Gregory Forest, Samuel K. Lai, Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3D, Proceedings ...