John Kean explains how the xHE-AAC codec utilizes metadata to shift dynamic range control from content producers to listeners ...

IBM was early, you might argue too early, to AI. Now, CEO Arvind Krishna thinks big bets like Watsonx and quantum computing will start to pay off. is editor-in-chief of The Verge, host of the Decoder ...

Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...

Thanks for sharing this clean codebase to your cool paper and congrats to achieving sota. I got a general question which I did not understand from the paper and this codebase about the architecture ...

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, ...

Autoencoders are a class of neural networks that aim to learn efficient representations of input data by encoding and then reconstructing it. They comprise two main parts: the encoder, which ...