Abstract: Machine learning based approaches are being increasingly used for designing decoders for next generation communication systems. One widely used framework is neural belief propagation (NBP), ...

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Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...

A brain decoder uses machine learning to translate a person's thoughts into text, based on their brain's responses to stories they've listened to. However, past iterations of the decoder required ...

Connecting a decoder to your TV allows you to access various channels and digital content. Whether you’re setting up a new decoder or reconnecting an existing one, the process is generally ...