Methods stemming from decades of research on disordered materials are used to describe algorithmic phase transitions, and to design new algorithms in machine-learning problems.
Nobody can understand the legal language in privacy policies. Can artificial intelligence digest the text and produce a human-readable explanation?
While there is currently interest interest in artificial intelligence, it offers limited achievements, such as the autonomous car. Tomorrow, machines will learn alone and forge solutions.
Important advances have been made in the areas of automatic language processing and emotional computing, and that could have big implications for business.
Text and video 'mining' could be used to automatically detect violent language and behaviour.
The Supreme Court's public reputation is strong in part because people see it as less political than other government branches. What can text analysis tell us about how accurate that perception is?
We should all learn from mistakes. Driverless cars must do the same when it comes to any accidents they've been involved in on our roads, no matter who was to blame.
Brain-computer interfacing is a hot topic in the tech world, with Elon Musk's announcement of his new Neuralink startup. Here, researchers separate what's science from what's currently still fiction.
Rather than replace humans, AI could actually boost our creativity.
A former animal trainer explains how we might usefully think about the limitations of artificial intelligence systems.
Talking therapy or antidepressants? An MRI scan could reveal what would work for you.
The technology needed to create a real Star Trek-like Holodeck is not that far out of reach.
Artificial intelligence is surrounded by fear and mystery because very few understand its inner workings. But it's actually rather intuitive and far simpler than it seems.
The value of machine learning is not only that it is more accurate than humans. It is also cheaper and more consistent in its diagnoses.
Artificial intelligence is already transforming a range of industries but it has still to make an impact on healthcare. So what's the hold up?
We need to do more than teach machines to learn. We need to overcome the barriers that separate machines from us – and us from them.
Business Briefing: why the future is workless.
The Conversation18.1 MB (download)
We need to embrace a future where machines do our jobs for us and the government gives us a basic income as a safety net, author Tim Dunlop says.
New HBO series reimagines a group of life-like robots programmed with hope but marred in violence. They might be more human than we think.
Auto-translation software has been pretty frustrating to use. But news of vast improvements to Google's translation software raises the prospect that websites will soon be browsable in any language.
Algorithms that learn from large data sets can pick up inherent social biases. That could perpetuate the biases, or even worsen them.