The computer does more of the work than you might think.
CT computer and scan room image via shutterstock.com
Pairing more powerful computers with increasingly sensitive scanners can yield many benefits in medicine and other fields.
Genomes don’t translate easily into an understanding of disease.
Big data is all well and good, but if we want medical breakthroughs, we'll need big theory too.
A robot for an MP – who’d vote for that?
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?
The historic match between South Korean Go champion Lee Se-dol and the AlphaGo, an artificial intelligence system developed by Google.
Google's artificial intelligence made a surprise move in the recent Go challenge that has some people worried about what happens when AI makes a non-human decision that we could not anticipate.
All that computer power will still need a helping hand from our uniquely human expertise.
Computers image via www.shutterstock.com
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.
What happens if we let growing artificial intelligence make all of our decisions for us?
Modeled by artificial intelligence: The Roberts Court, 2010-2016.
Steve Petteway, US Supreme Court
Our data-driven model was able to create a reasonably accurate assessment of justices' views on issues, predict their alignments on cases and identify who might be a swing vote.
Lyle J Hatch / shutterstock.com
Even the smartest AIs weren't supposed to beat top humans at Go for another decade or more.
It takes time for a human to become good at diagnosing ailments, but that learning is lost when they retire.
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.
A masked face but experts still have his voice to go on.
When facial recognition isn't possible, it's time to bring in the voice recognition experts.
Graphics chips originally built for 3D computer games such as Quake now power our most advanced artificial intelligence software.
Disney’s WALL.E needed to see all the rubbish on Earth so it could clean it up.
AAP Image/Tracey Nearmy
Robots that can learn to 'see' the world around them -- and share their learning with other robots -- will lead the next revolution in robotics.
Whose hand is on the card?
The end-of-year shopping whirlwind is underway. How does your credit card issuer watch out for fraudulent purchases on your account amid all those transactions?
Google’s machine learning software already does some pretty amazing things, such as visual translations.
Google's decision to release its machine learning software as open source could be a major boost for the development of new Artificial Intelligence technologies.
Maybe Moments is just the human helping hand new Twitter users need.
Twitter image via rvlsoft / Shutterstock.com
Twitter recently launched Moments, seemingly to solve a business problem. The cutting-edge technology it relies on isn't technology at all, but rather human curators.
M – no Bond jokes please.
What does Facebook's new AI digital assistant bring to the party that rivals haven't got? Humans.
Under an uncomfortable spotlight.
Baidu image via Gil C/Shutterstock.com
The Chinese search engine Baidu was found to have cheated in a computer science competition.
“Looks like there’s an unexpected item in the bagging area, puny human.”
Why would our software turn against us when without us it's useless?
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.
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
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…