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Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
IEEE2d
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning - IEEE Xplore
Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning ...
Semiconductor Engineering2d
Accelerator Architecture For In-Memory Computation of CNN Inferences Using Racetrack Memory
A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...
IEEE3d
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey - IEEE Xplore
This paper presents a comprehensive literature review on applications of deep reinforcement learning (DRL) in communications and networking. Modern networks, e.g., Internet of Things (IoT) and ...
The American Journal of Managed Care5d
Challenges and Opportunities for AI in Melanoma Detection
While artificial intelligence (AI) holds promise to improve the diagnosis of melanoma, researchers of a new review outlined ...