Error Correcting Code
Error-correcting codes (ECCs) are methods for reliably transmitting information despite noise or errors, aiming to maximize data integrity and efficiency. Current research emphasizes developing novel ECCs and decoding algorithms, including those leveraging deep learning architectures like transformers and autoencoders, as well as exploring the use of machine learning for code design and optimization. These advancements are crucial for improving data storage, communication systems, and applications like DNA storage and fault-tolerant neural networks, impacting fields ranging from computer science and telecommunications to biology and materials science.
Papers
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