The textbook meaning of an artificial neural network (ANN) is a deep learning model made up of neurons that emulate the structure of the human brain. These neurons are designed to mimic the way nerve ...
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...
Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...
To make a step forward in the understanding of the computational mechanism of human-like decision-making, this paper proposes a brain-inspired decision-making spiking neural network (BDM-SNN) and ...
The authors develop an analysis package for characterizing the activity of neural dendrites and soma ... suggestive of network-level computational mechanisms.
Traditional processors can struggle with these requirements, leading to high energy consumption, increased latency, and throughput bottlenecks. A cornerstone of neural network computation is the ...
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AI servers are used for training and deploying machine learning models, executing neural networks for tasks like image and speech recognition, analyzing and understanding human language ...
The big change is that Nvidia went from a convolutional neural network, or CNN, to a transformer model. Some games, such as Cyberpunk 2077 and Alan Wake 2, let you switch between the different ...