IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
marktechpost

Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures

CNNs are specialized deep neural networks for processing data with a grid-like topology, such as images. A CNN automatically detects the important features without any human supervision. They are ...
The New England Journal of Medicine

Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria

Technology to restore the ability to communicate in paralyzed persons who cannot speak has the potential to improve autonomy and quality of life. An approach that decodes words and sentences directly ...
The Guardian

What are deepfakes – and how can you spot them?

AI-generated fake videos are becoming more common (and convincing). Here’s why we should be worried Have you seen Barack Obama call Donald Trump a “complete dipshit”, or Mark Zuckerberg brag about ...
IEEE

Toward the Realization of Encoder and Decoder Using Deep Neural Networks

Abstract: Deep learning continues to offer groundbreaking technologies in communications systems just as it has in a variety of other fields. Despite the notable advancements of technologies based on ...