Encoder-decoder architectures have become a mainstay in various AI applications, particularly in generative tasks involving sequences like text, speech, or images. Their popularity stems from the ...

FEMI, an AI model for IVF, uses 18 million images to improve embryo assessment, offering a non-invasive, cost-effective ...

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained ... By employing transposed convolutions in the decoder stage—and ...

Then, the brain encoder learns to align the MEG signals to those image embeddings. Finally, the image decoder creates a plausible image based on those brain representations.