A Riff on Homomorphic Encryption

After reading this Wired article, I still am not sure what this is all about. here is a peek

Under the banner of a startup called Numerai, (Richard) Craib and his team have built technology that masks the fund’s trading data before sharing it with a vast community of anonymous data scientists. Using a method similar to homomorphic encryption, this tech works to ensure that the scientists can’t see the details of the company’s proprietary trades, but also organizes the data so that these scientists can build machine learning models that analyze it and, in theory, learn better ways of trading financial securities.

See what I mean? It is just a tough nut. Let me know if you can figure it out.

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