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The encoder-decoder architecture is a neural network framework where the encoder transforms input data into a dense, abstract representation, capturing its essential features.

In the current multi-modality support within vLLM, the vision encoder (e.g., Qwen_vl) and the language model decoder run within the same worker process. While this tightly coupled architecture is ...

Dr. Michael C. Oldham's innovative gene coexpression analysis methods have transformed our understanding of brain cell diversity. His work spans from mapping cellular signatures in healthy ...

The company will also preview its Pro Convert Xmit AIO, the first member of the Xmit family, at Infocomm. The streaming encoder/decoder is a standalone device that converts one channel of SDI or HDMI ...

Traditional fluorescence microscopy and AI-driven methods have limitations such as subjectivity and labor-intensiveness. We developed a deep-learning pipeline using a U-Net–type encoder–decoder ...

Qlik Open Lakehouse offers a new path: a fully managed lakehouse architecture powered by Apache Iceberg that delivers 2.5x–5x faster query performance and up to 50% lower infrastructure costs ...

In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention mechanism in human brain perception and named human-like perception attention network (HPANet), is ...