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A universal system for decoding any type of data sent across a network

A universal system for decoding any type of data sent across a network by Adam Zewe, Massachusetts Institute of Technology A new silicon chip can decode any error-correcting code through the use of a novel algorithm known as Guessing Random Additive Noise Decoding. The data are coded so that when they arrive at their destination, a decoding algorithm can undo the negative effects of that noise and retrieve the original data. Each code had a structure that corresponded with a particular, highly complex decoding algorithm, which often required the use of dedicated hardware. Researchers at MIT, Boston University, and Maynooth University in Ireland have now created the first silicon chip that is able to decode any code, regardless of its structure, with maximum accuracy, using a universal decoding algorithm called Guessing Random Additive Noise Decoding. The researchers tested the GRAND chip and found it could effectively decode any moderate redundancy code up to 128 bits in length, with only about a microsecond of latency. A chip for the future Since GRAND only uses codebooks for verification, the chip not only works with legacy codes but could also be used with codes that haven't even been introduced yet. "For reasons I'm not quite sure of, people approach coding with awe, like it is black magic. The process is mathematically nasty, so people just use codes that already exist. I'm hoping this will recast the discussion so it is not so standards-oriented, enabling people to use codes that already exist and create new codes," she says.

SOURCE: Tech Xplore

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Zoom's next act may be a threat to the rest of tech

The pandemic catapulted Zoom Video Communications Inc. from a scrappy upstart into a $111 billion video-conferencing behemoth, central to th