Combining quantum computing with neural networks could produce AI that can make very complex decisions quickly.
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Articles on Artificial intelligence (AI)
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Three-quarters of insurance executives believe artificial intelligence will revolutionise the industry within a few years. It promises lower premiums, but brings ethical risks too.
A new study shows that facial recognition software assumes that black faces are angrier than white faces, even when they’re smiling.
Beware of the blind use of artificial intelligence: used as a “magic wand”, for example in an autonomous car, it presents risks.
Some believe that including AI in childbirth could save lives and taxpayers’ money.
By looking closely at traits like wing feathers and spot patterns, a computer scientist trained an algorithm to recognize individual woodpeckers.
What do the Carlos Ghosn scandal, the rising power of algorithms and the “gilets jaunes” have in common? The need to extend the spatial and temporal definitions of responsibility.
The Montréal Declaration calls for the responsible development of artificial intelligence. A world expert explains why scientists must choose how their expertise will benefit society.
Some AI technologies aren’t advanced enough to provide useful insights, but simpler tools can yield new opportunities to explore the humanities.
A new virtual campus tour project in North Carolina could change the way students in rural or otherwise remote areas are able to ‘see’ prospective colleges without ever leaving their high schools.
It’s easy to get excited about the potential for robots to help care for the sick, injured and elderly, but we need the right regulations in place to deal with issues as they emerge.
One-third of roads in the U.S. are unpaved; plenty more have faded or obscured road markings. Today’s self-driving vehicles can’t go on them, and will need new algorithms to handle those conditions.
Amazon, Facebook and Google have lofty goals for their effects on global society. But people around the world are still waiting for the positive results. Here’s what the tech giants could do.
Commentators always like to imagine what players could have done better – we’re using AI to prove it.
Expecting algorithms to perform perfectly might be asking too much of ourselves.
A new machine-learning algorithm does more with less.
There’s no reason why AI systems can’t speak any language – but is there a reason why it should?
A new study provides fascinating data on how people prioritise who to save in hypothetical driverless car crashes. But it takes more than just numbers to really create ethical machines.
While many jobs are being replaced by technology, those that participate in the making of (good) social experiences for people are bucking the trend.
Artificial intelligence techniques like deep learning and reinforcement learning are getting increasingly advanced and capable of helping people with a wide range of complex tasks.
Top contributors
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Professor of AI, Research Group Leader, UNSW Sydney
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor in Robotics, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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PhD in machine ethics, University of Canterbury
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor, Queensland University of Technology
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Assistant Professor, Psychology, Concordia University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Lecturer in Business Analytics, University of Sydney
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
