Machine learning is helping astronomers unravel the vast amounts of data being collected.
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Articles on Machine learning
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Through the act of suggesting some words and not others, the predictive text features in our devices change the way we think — and therefore shape our culture.
Combining archaeological evidence, aerial scans and machine learning algorithms, researchers modeled how this medieval city grew over time.
Twenty years ago, a few small-market Major League Baseball teams used advanced analytics as a secret weapon to compete with large-market teams. But the Moneyball effect is gone now.
Autonomous vehicles could one day transform urban transport and make roads safer, but some obstacles need to be overcome first.
The researchers used machine learning to study the 2,000-year-old document.
Humans often stumble when they encounter the unexpected, but they tend to adapt and move on. Artificial intelligence systems, not so much.
By letting machines recommend movies and decide whom to hire, humans are losing their unpredictable nature – and possibly the ability to make everyday judgments, as well.
In a series of experiments, Australian researchers showed how machines can find vulnerabilities in human decision-making and exploit them to influence our behaviour.
A new report from the GovLab and the French Development Agency (AFD) examines how development practitioners are experimenting with emerging forms of technology to advance development goals.
Psychological assessment and treatment is based on well-defined rules, which makes it ripe for a robot takeover.
Amazon CEO Jeff Bezos is stepping down. His successor’s AI experience may hold clues for the retail giant’s future.
AI algorithms can solve hard problems and learn incredible tasks, but they can’t explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.
Forced labor is a widespread problem in fisheries on the high seas. Between 2012 and 2018, an estimated 100,000 people may have been victims of forced labor on thousands of different boats.
Training neural networks burns through a lot of energy. As the AI field grows, it’s working to keep its carbon foot print from growing with it.
Understanding how cells grow under a variety of conditions is necessary for diagnosing disease and developing treatments in the future.
Computational methods could help identify conspiracy theories as they emerge.
Using machine learning to study over 85 million YouTube comments, a research team has, for the first time, identified linguistic differences among cable news viewers.
In 2016, America’s adversaries seemed to cheer electoral chaos and a withering faith in democracy. Now they seem to be hoping democracy can topple a leader they’ve grown loathe to deal with.
A close look at how you decide what clothes to put on in the morning can help you understand how computers work.
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
