Abstract: Deep-learning-based watermarking technique is being extensively studied. Most existing approaches adopt a similar encoder-driven scheme which we name END (Encoder-NoiseLayer-Decoder) ...

Abstract: Super-resolution reconstruction is an essential task of seismic inversion due to the low resolution and strong noise of field data. Popular deep networks derived from U-Net lack the ability ...

An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training. When you purchase through links on our site, we may earn an affiliate ...

A new AI-based tool can translate a person's thoughts into continuous text, without requiring the person to comprehend spoken words. This latest advance suggests it may be possible, with further ...

Satellite TV broadcaster Openview’s new decoder offers a much more compact design than its predecessors, but its on-demand streaming content is currently lacking. After years of teasing that a new ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and ...