Microsoft aims to make developers lives' easier with deep learning bug hunt

You don't have to be deeply learned to appreciate the deep learning wizardry Microsoft'southward been up to. Redmond's trusty researchers are up to their usual loftier-tech antics and, in this instance, that ways discovering the secret of how to train a deep-learning model without really training it.

Here's the problem the researchers started out with: How does a deep learning model notice bugs it's never met earlier? Information technology'd be similar telling someone to identify a unicorn when they'd only e'er been exposed to farm cows.

To remedy this data-less training predicament, the researchers cooked up BugLab, wherein two competing deep learning models go caput-to-caput. One attempts to introduce bugs and hide them in diverse locations, and the other is tasked with sussing out the niggling pests its sibling model leaves behind. As a result of the hide-and-seek game, both models get smarter.

If this sounds like a actually, really restrained first-deed rewrite of Avengers: Age of Ultron, maybe we'll see it turn out to be that mode in retrospect. Check dorsum with Windows Primal in 2055 when BugLab has determined the ultimate bug is the error in humanity's programming and that the only manner to articulate the cache on World is to wipe u.s. out.

Alternatively, if you're a developer interested in learning about the tech behind Microsoft'due south bug-hunting operations, bank check out the official blog post that offers a deep dive into the nitty-gritty of BugLab.

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