The Australian census is just one way to gather data on people. We also freely give out information in other ways that can be used to study many things, and maybe even predict an election result.
L’expertise universitaire, l’exigence journalistique
Articles sur Machine learning
Affichage de 281 à 300 de 311 articles
Artificial intelligence gives technology the ability to learn and adapt. But they can learn a lot more if they can share their learning with other smart devices.
Machine learning is being used to see if it’s possible to predict whether someone will commit a crime some time in the future. But does this risk condemning people for a crime they haven’t committed?
The technological goals are lofty. But fitting the new tech into the social and political landscape might pose the bigger challenge.
The rise of online ‘chatbots’ shows how artificial intelligence is becoming a part of daily life. But how do you stop them talking like a really bad PA?
Computers must master football if they are to demonstrate that they can be our equal.
We’re just at the beginning of working out the tasks machines will make us better at.
Pairing more powerful computers with increasingly sensitive scanners can yield many benefits in medicine and other fields.
Big data is all well and good, but if we want medical breakthroughs, we’ll need big theory too.
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?
Les contributeurs les plus fréquents
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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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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Professor in Robotics, Queensland University of Technology
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Associate Professor in Behavioral Data Science, University of Technology Sydney
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Professor of Chemistry, Connecticut College
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
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Professor of Artificial Intelligence, University of Bath
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Professor of AI, Research Group Leader, UNSW Sydney
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Professor of Computer Science, Queen Mary University of London
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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PhD student, Human–AI Creative Collaboration, UNSW Sydney
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor of Computer Science and Engineering; Director, UB Media Forensic Lab, University at Buffalo
