Guessing Random Additive Noise Decoding (GRAND)

Researchers at MIT, Boston University, and Maynooth University in Ireland created a new silicon chip that can decode any error-correcting code, eliminating the need for specific decoding hardware through the use of a novel algorithm known as Guessing Random Additive Noise Decoding (GRAND).

One way to think of these codes is as redundant hashes (in this case, a series of 1s and 0s) added to the end of the original data. The rules for the creation of that hash are stored in a specific codebook.

As the encoded data travel over a network, they are affected by noise, or energy that disrupts the signal, which is often generated by other electronic devices. When that coded data and the noise that affected them arrive at their destination, the decoding algorithm consults its codebook and uses the structure of the hash to guess what the stored information is.

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