How Google’s AI taught itself to create its own encryption

As machine learning becomes ubiquitous, robots will be tasked with handling increasingly more sensitive and private data. In order to help protect this personal information, computer scientists at Google have developed neural networks that teach themselves how to encrypt the information they process.

A team from Google Brain, the organisation’s deep learning research project, taught neural networks how to encrypt and decrypt messages. In a research paper published online the scientists created three neural networks: Alice, Bob, and Eve.Each was assigned its own job.

Alice was taught to send secret, encrypted, messages to Bob. Bob was required to try to decrypt them. Finally, Eve, was taught to decypher the messages, without being given the secret key provided to the other neural networks.

Read more: How Google’s AI taught itself to create its own encryption

Don’t forget to share this via , , Google+, Pinterest, LinkedIn, Buffer, , Tumblr, Reddit, StumbleUpon and Delicious.

Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future. He lives in London with a single android - a temperamental vacuum cleaner - but is looking forward to getting more cyborgs soon.

Leave a Reply

Your email address will not be published. Required fields are marked *

How Google’s AI taught itself to create its own encryption

by Mike Rawson time to read: 1 min
Hi there - can I help you with anything?
[Subscribe here]
 
More in Machine Learning, News
O'Reilly AI conference
12 Observations About AI From The O’Reilly Conference

At the inaugural O’Reilly AI conference, 66 artificial intelligence practitioners and researchers from 39 organizations presented the current state-of-AI: From...

Close