Big data is all well and good, but if we want medical breakthroughs, we’ll need big theory too.
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Articles on Machine learning
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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?
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.
What happens if we let growing artificial intelligence make all of our decisions for us?
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.
Even the smartest AIs weren’t supposed to beat top humans at Go for another decade or more.
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.
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.
Robots that can learn to ‘see’ the world around them – and share their learning with other robots – will lead the next revolution in robotics.
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.
What does Facebook’s new AI digital assistant bring to the party that rivals haven’t got? Humans.
The Chinese search engine Baidu was found to have cheated in a computer science competition.
Why would our software turn against us when without us it’s useless?
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…
The human race has long designed and used tools to help us solve problems, from flint axes to space shuttles. They affect our lives and shape society in expected and sometimes unexpected ways. We may understand…
Top contributors
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Research Fellow in AI Accountability, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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Associate Professor in Behavioral Data Science, University of Technology Sydney
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Professor in Robotics, Queensland University of Technology
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Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
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Professor, ESCP Business School
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Professor of Machine Learning, University of Sheffield
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Professor of AI, Research Group Leader, UNSW Sydney
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Associate Professor
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Professor of Neuroscience and Mathematics, The University of Queensland
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
