Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

The GPT family of models process text using tokens, which are common sequences of characters found in text. The models understand the statistical relationships between these tokens, and excel at ...

Until now, I had only heard about Beken Bluetooth audio chips, but I’ve just been informed the company is also making WiFi chips such as the BK7256 that are notably found in some Tuya Smart Home ...

Abstract: In this article, a stochastic recurrent encoder decoder neural network (SREDNN), which considers latent random variables in its recurrent structures, is developed for the first time for the ...

First of all, thank you very much for making our lives easier with the work you do at huggingface, congratulations! We have a model based on the encoder-decoder architecture, made up of 2 RoBERTa. The ...