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Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures
CNNs are specialized deep neural networks for processing ... translation or summarization. The encoder processes the input data to form a context, which the decoder then uses to produce the output.
Oak Ridge National Lab1y
Tencoder: tensor-product encoder-decoder architecture for predicting solutions of PDEs with variable boundary data
We investigate the ability of neural-network surrogate models ... While simple feedforward networks are used for one-dimensional (1D) Poisson equation, an encoder-decoder architecture with a ...
Frontiers3y
MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis
To this end, we introduce, a multi-scale encoder-decoder self-attention ... we facilitate a deep neural network architecture that learns both macro-level and micro-level dependencies between ...
Frontiers3y
Hierarchical Encoder-Decoder With Soft Label-Decomposition for Mitochondria Segmentation in EM Images
Semantic segmentation of mitochondria from electron microscopy (EM) images is an essential ... we develop a hierarchical encoder-decoder network (HED-Net), which has a three-level nested U-shape ...