Abstract: Potentially large storage requirements and long initial decoding delays are two practical issues related to the decoding of low-density parity-check (LDPC) convolutional codes using a ...

Abstract: We investigate error propagation in sliding window decoding of braided convolutional codes (BCCs). Previous studies of BCCs have focused on iterative ...

Biomedical image segmentation plays a crucial role in various medical applications, such as disease diagnosis and treatment planning. The U-Net architecture is a widely recognized deep learning model ...

Department of Chemistry, Department of Biomolecular Chemistry and National Center for Quantitative Biology of Complex Systems, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States ...

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging Neuralink’s invasive methods by decoding brain signals into text without surgery.

These local LLMs are changing the game in lots of fun ways.

About Dilated convolutions can capture long-term dependencies while avoiding the vanishing gradient problem. Code uses one-hot encoding and categorical cross-entropy loss function. These features can ...