Google has launched T5Gemma, a new collection of encoder-decoder large language models (LLMs) that promise improved quality ...

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 ...

Finally understand how encoder blocks work in transformers, with a step-by-step guide that makes it all click. #AI #EncoderDecoder #NeuralNetworks ...

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 ...

3 Proposed architecture This research work proposes a novel architecture that integrates the patch-based ConvNeXt encoder with the U-Net decoder, which we name P-DeSeRay, short for Pneumothorax ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.