Articles on Machine learning

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A robot for an MP – who’d vote for that? Shutterstock/Mombo

Can we replace politicians with robots?

If a machine can write a speech for a politician, why not go the next step and replace the elected human with a programmed robot?
All that computer power will still need a helping hand from our uniquely human expertise. Computers image via www.shutterstock.com

Beyond today’s crowdsourced science to tomorrow’s citizen science cyborgs

Computers are getting better and better at the jobs that previously made sense for researchers to outsource to citizen scientists. But don't worry: there's still a role for people in these projects.
It takes time for a human to become good at diagnosing ailments, but that learning is lost when they retire. Shutterstock/Poprotskiy Alexey

Digital diagnosis: intelligent machines do a better job than humans

Humans can only do so much when it comes to diagnosing what's wrong with a patient. So why not let machines take over? They learn faster than humans and never retire.
Disney’s WALL.E needed to see all the rubbish on Earth so it could clean it up. AAP Image/Tracey Nearmy

How do robots ‘see’ the world?

Robots that can learn to 'see' the world around them -- and share their learning with other robots -- will lead the next revolution in robotics.
It’s hard for a human to keep an eye all the players’ performance in any game, such as this typical AFL match at the MCG in Melbourne. So let the machines do all the work. Flickr/Sascha Wenninger

Games by numbers: machine learning is changing sport

When it comes to keeping an eye on all the action in sport a coach can only see so much. But machine learning can crunch all the data and look for improvements.
“You think you’re in pain now, but this is not going to look good on Facebook tomorrow.” Stefano Bolognini/National Museum of Denmark

Deep learning could prevent you from drunk posting to Facebook

The immense popularity of social media seems to have redefined “privacy” from the sense of keeping information secret to being in control over how information is shared – among friends, colleagues, companies…

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