As part of my course at Charles Sturt University, I have just learnt something simple yet amazing – which file format to use for images and when!
I had always wondered what the difference was between a PNG, JPG and GIF, and when I should use each of these file types. If you are making eLearning content, webpages or printing posters with images, then you should know the difference between these files types. To summarise what I have learnt:
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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.
Another 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!
Continuing on a similar thread from the past few posts this year – let’s chat quickly about facial recognition.
It’s pretty freaky when you upload a photo to social media and the image is automatically tagged with the people in it. Very accurately too. According to the article ‘Is Facebook’s Facial-Scanning Technology Invading Your Privacy Rights?‘ Facebook’s DeepFace recognition software has “an accuracy rate of 97.35 percent compared with 97.5 percent for humans”
I don’t ever remember being given a notification or option to ‘opt out’ of having my face recognised by this technology, and thus this is another example of our privacy potentially being invaded without us even thinking about it. Think how useful this type of information could be to an identity thief. Because you cannot change your face (unless you are willing to go super sci-fi and try out a ‘Face Off’ style scenario) this type of ‘biometric identifier’ can be used to link all sorts of information about you.
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To continue with the discussion of online privacy from a post earlier this year, I wanted to briefly mention the Internet of Things (IoT).
The IoT basically just means where everyday items have internet connectivity, so they can send and receive data. So we have ‘smart watches’ and ‘smart rings‘, fridges with the internet to do grocery shopping on and so forth. You can read more about this trend on the Center for the Future of Libraries webpage.
While these advances are exciting, few people seem to stop and think about how these products can affect our privacy.
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