Autoencoder neural networks: These unsupervised machine learning systems, sometimes referred to as Autoassociators, ingest unlabeled inputs, encodes data, and then decodes the data as it attempts ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Recurrent neural networks, or RNNs, are a style of neural network that involve data moving backward among layers. This style of neural network is also known as a cyclical graph .

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts across neural networks — from CNNs to Transformers. It outperforms ...

In Situ Backpropagation Strategy That Progressively Updates Neural Network Layers Directly in HW (TU Eindhoven) July 16th, 2024 - By: Technical Paper Link A new technical paper titled “Hardware ...