We created a reading-machine that finds poetry hidden in plain sight in popular books. In doing so, we are exploring Natural Language Processing, Machine Learning and reading in a digitised world.
Articles on Machine learning
Displaying 221 - 240 of 367 articles
Social media platforms are increasingly offering mental health support tools to users. The jury is still out on whether it will do any good
The use of online health platforms is on the rise, allowing us to track and share our personal data. While such platforms have promise, significant scientific, ethical and privacy questions remains.
States are increasingly turning to machine learning and algorithms to detect fraud in food stamps, Medicaid and other welfare programs – despite little evidence of actual fraud.
The knowledge produced in designing and developing artificial neural networks may provide new insights into how our brains work.
Machines mostly innovate on narrow dataset, which limits their creativity.
Advancements in data analytics can prevent food wastage and save farmers from significant losses along the fresh produce value chain.
Traditional companies need to embrace high-quality data gathering to avoid being left behind by the next industrial revolution.
A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
A project involving tens of millions of patient records poses ethical issues, even though patients could ultimately gain. Here’s why privacy concerns are a hurdle.
Beware those who say it is a solved problem.
On October 23 Google announced that it built a quantum computer thousands of times faster than classic computers. This could have immense impacts on finance, cryptography and other fields.
Google’s Smart Compose feature is meant to help deal with the deluge of email, but does it increase the pressure to respond quicker?
Algorithm-based apps can recommend clothes based on what other people have worn, but they have a long way to go before they understand fashion.
If artificial intelligence can amaze us with its prowess, there are many areas where it falls flat when compared to human and animal intelligence.
Artificial Intelligence can perpetuate existing social imbalances in a harmful manner. Can this undesirable scenario be avoided?
Creativity isn’t the only route to discovery – automated analysis of huge amounts of data works too.
A key element of the battle between truth and propaganda has nothing to do with technology. It has to do with how people are much more likely to accept something if it confirms their beliefs.
Artificial intelligence holds great promise for medicine, but safeguards are needed to ensure it does not harm patients.
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.
Top contributors
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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Professor of Statistics and Professor of EECS, University of Michigan
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Professor of Information Systems, Michigan State University
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Professor in Robotics, Queensland University of Technology
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Professor of Chemistry, Connecticut College
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Professor of Artificial Intelligence, University of Bath
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Professor of AI and Behavioral Data Science, University of Technology Sydney
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci
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Professor of Computer Science, Queen Mary University of London
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Associate Professor of Law and Analytics, Georgia State University
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Adjunct Senior Lecturer, Applied Ethics and CyberSecurity, Griffith University
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Professor of AI, Research Group Leader, UNSW