A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...

Variational Autoencoders (VAEs) are an artificial neural network architecture to generate new data. They are similar to regular autoencoders, which consist of an encoder and decoder. The encoder takes ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

Concurrent decoding of acoustic detail and linguistic structure enables natural, intelligible speech synthesis from limited human cortical recordings, resolving a fundamental constraint in neural ...