Abstract: This paper describes a targeted drug design method based on a framework of multiscale encoder-decoder. Encoders are used to encode target gene and protein features. A decoder is used to ...

Their new converter algorithm can quickly train an existing decoder on another person's brain, the team reported in a new study. The findings could one day support people with aphasia, a brain ...

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, ...

This program is a modified version of "OZ1JHM CW Decoder VER 1.01", originally developed by Hjalmar Skovholm Hansen OZ1JHM. These modifications were made by [email protected] on Sep. 15th 2024.

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 ...

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 ...

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Qualcomm engineer Vikash Garodia has just pushed a commit to add “Qualcomm Iris V4L2 encoder/decoder driver” to mainline Linux enabling support for H.264, H.265, and VP9 decoding, H.264 and H.265 ...