The knowledge produced in designing and developing artificial neural networks may provide new insights into how our brains work.
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Articles on Machine learning
Displaying 141 - 160 of 283 articles
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.
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.
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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Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
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Professor, ESCP Business School
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Professor of Machine Learning, University of Sheffield
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Professor of AI, Research Group Leader, UNSW Sydney
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Associate Professor
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Professor of Neuroscience and Mathematics, The University of Queensland
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
