Machine Learning

Continuing on from my earlier post about Facial Recognition, let’s talk about machine learning. This is a type of artificial intelligence that lets machines ‘learn’. So just as facial recognition software is able to ‘learn’ by building templates of faces, other machines can learn a vast array of useful information.

For example, a company called Jigsaw has recently announced a new technology to help identify trolls and inappropriate comments on websites (via Engadget). These types of systems are usually given a data bank of typical examples of the content they are learning. Here, the machine (known as ‘Perspective’) was given a huge amount of comments labelled as ‘toxic’ by human reviewers. It can then use these as templates to identify more similar comments. Each time it is correct, or incorrect, it becomes more accurate.

4-04-2017 3-40-02 PMAnother example, which is a whole lot of fun, is Google’s ‘Quick, Draw‘ game. Simply press play, and you’ll be given 20 seconds to draw a simple item. These doodles are then saved to “the world’s largest doodle data set” to help with machine learning research in the future. As you draw, you can see the machine recognising your pictures (or not) in comparison to other pictures people have drawn of the same item. Give it a go, it’s very addictive!

Other examples include algorithms that recognise and filter email spam, provide you with ‘you may also like’ suggestions and targeting advertisements at you.

So what does this mean for us humans? Is this the beginning of the end a la Terminator movies? Hopefully not. These systems still need a lot of human guidance, but every new development is truly amazing. And if it simplifies my life and work, I’m all for it!

 

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