Computers today are fast and powerful but they still can’t think like a human when it comes to some tasks we find easy. That’s why tech companies are turning to neuroscience for help.
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Articles on Machine learning
Displaying 241 - 260 of 297 articles
Digital games now know you so well they can predict your behaviour.
The future and the past, money, technology and politics documented and imagined in fact and fiction, in an economist’s recommended reading.
How the idea of a hyper-connected society could quickly go from utopia to dystopia and why neither scenario is likely to last.
Self-driving vehicles will need to communicate and work together.
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?
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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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci
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Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Machine Learning, University of Sheffield
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Professor, ESCP Business School
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Associate Professor
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Professor of Neuroscience and Mathematics, The University of Queensland
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Professor of AI, Research Group Leader, UNSW Sydney
