At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial intelligence systems each develop cooperation: working ...

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 ...

Abstract: Recently, deep neural network-based methods have been proposed for vehicle behavior prediction (VBP). However, existing methods lack an enhanced discriminative mechanism and robust learning ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing ...

1 Department of Nuclear Medicine, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China 2 Department of Nuclear Medicine, Meizhou People’s Hosptal (Meizhou ...

A budget blueprint released on Friday advances, in hard numbers and biting words, President Trump’s assault on the nation’s universities and scientific research enterprise. By Sheryl Gay Stolberg ...