There are potential issues with any use of machine learning in policing. But if used in the right way, it could go a long way towards more effective policing.
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Articles on Machine learning
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Using machine learning and natural language processing, researchers are developing an algorithm that can distinguish between real and fake news articles.
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Quantum machine learning is an exciting, rapidly growing field.
To be sustainable, the NHS needs to invest in AI and other advanced technologies.
The idea that robots will take our jobs is not radically new – but artificial intelligence is now completely reorganising the global economy. Australia must act now to keep up with the world.
Hardware could exploit the properties of scattered light so that computations happen at high speed and with low power consumption.
Instead of trying to explain the mystifying mathematics behind how algorithms work, this researcher started looking at how they actually 'see' the world we live in.
Prominent thinkers exaggerating the potential or danger of artificial intelligence are pushing us towards a new AI winter.
A proposed bill would force tech companies to tell users how much their data is worth. But how can a single number capture data's power to predict your actions or sway your decisions?
Finding out more about how the brain works could help programmers translate thinking from the wet and squishy world of biology into all-new forms of machine learning in the digital world.
Research has found ways to detect deepfakes through flaws that can't be fixed easily by the fakers.
We know that social media platforms have an incentive to promote whatever gets the most attention, regardless of its authenticity. We're more reluctant to admit that the same is true of people.
Teaching robots to care for us in old age will be child's play.
Having trouble playing the latest video game? New AI tools can learn how you and others play, and help you be a better player.
Artificial intelligence can help manage floods effectively, but decisions about which communities are protected require a human touch.
A human knows that four cats, four apples and the symbol 4 all have one thing in common – the abstract concept of 'four'. Now robots are catching up.
Uber's IPO will value the company at more than $80 billion, yet the data it collects on its users may be worth even more – and creates the potential for dangerous manipulation.
Social media offers good conditions for wildlife trafficking to thrive.
Quantum machine learning is an exciting and rapidly growing field.
Technology experts have long worried about a 'digital divide' between those who could use computers and those who could not. Artificial intelligence algorithms are widening the gulf.
Top contributors
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Professor in Robotics, Queensland University of Technology
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor of Computer Science, Queen Mary University of London
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Professor of Machine Learning, University of Sheffield
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Professor, ESCP Europe
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Professor of Business & Economics at Hult International Business School & Harvard University's Division of Continuing Education, Hult International Business School
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Professor, Director of the Art & AI Lab, Rutgers University
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Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
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Professor of Neuroscience and Mathematics, The University of Queensland
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci – UGEI
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Associate Professor of Information Systems, Michigan State University
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Professor of Computer Science; Director, Computer Vision and Machine Learning Lab, University at Albany, State University of New York
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Professor of AI at UNSW, Research Group Leader, Data61
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Director of UWA Centre for Software Practice, University of Western Australia
