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 ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

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 ...

Abstract: From the seventh to the tenth century, historical Indian rural inscriptions are challenging but valuable materials for historical study. These texts, inscribed on sturdy materials like stone ...

Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...