Abstract: Bit-serial computation shows promise for accelerating deep neural networks (DNNs) by exploiting inherent bit sparsity. However, the original unstructured bit sparsity poses two major ...
It may only be Tuesday, but we can already say this week is pretty slow and sluggish (at least as far as the weather forecast is concerned). You can thank two rounds of a weather pattern known as a ...
LB Beistad is a writer and musician based in Nashville, TN. Her love of gaming began with her cousin introducing her to Banjo Kazooie and Jak and Daxter. It was love at first play. Since then, she has ...
From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
For the first time, researchers at the Netherlands Institute for Neuroscience and Amsterdam UMC have identified what happens in neural networks deep within the brain during obsessive thoughts and ...
Understand how Highway Networks work and why they matter for training deep neural networks. A clear, beginner-friendly guide to this essential architecture! #DeepLearning #NeuralNetworks #AI Army ...
Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...
Explore the architecture of AlexNet, a groundbreaking deep neural network that revolutionized computer vision. This video walks through its layers and impact on the field of AI. 35 shot, 5 dead, in ...