Abstract: Haze obscures remote sensing images, hindering valuable information extraction. To this end, we propose RSHazeNet, an encoder-minimal and decoder-minimal framework for efficient remote ...

A new magnetic digital encoder featuring 14-bit resolution, differential outputs, and a speed range of up to 200-k e-RPM offers accurate and cost-effective position sensing for various robotic and ...

Vaddio, a brand of Legrand | AV, introduced the newest member of its EasyIP ecosystem, the EasyIP Tx/Rx HDMI Encoder or Decoder. This two-in-one device offers a simple way to add features and ...

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, ...

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 ...

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 ...

Abstract: This paper introduces BCH encoder and decoder construction based on efficient channel coding techniques for the digital television terrestrial broadcasting system specified by China.

CHAMPAIGN, Ill—Live production will be the central theme of Cobalt Digital’s exhibit at the 2023 NAB Show New York where the company will showcase its recently launched ultra-low latency PACIFIC ...

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 ...