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.
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.
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.
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.
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 decision to release its machine learning software as open source could be a major boost for the development of new Artificial Intelligence technologies.
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.
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.
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…