Psychological assessment and treatment is based on well-defined rules, which makes it ripe for a robot takeover.
Articles on Machine learning
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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.
Text generators like GPT-3 can produce remarkably convincing writing, but they can’t do away with human supervision just yet.
Problems in the underlying data mean we can’t leave algorithms to decide things on their own.
Satellite technology and machine learning are helping track down illegal and environmentally damaging ‘dark fleets’ of fishing boats.
Artificial intelligence insatiable data needs has encouraged the mass collection of personal data, placing privacy at risk. But AI can help solve the very problem it creates.
Researchers from New York University are designing AI algorithms to help predict COVID-19 outcomes.
The scientific community is churning out vast quantities of research about the coronavirus pandemic – far too much for researchers to absorb. An AI system aims to do the heavy lifting for them.
Design bloggers have long had creeping suspicion of a more monolithic web, so a team of researchers decided to analyze the aesthetics of nearly 10,000 websites.
Job ads are 12% lower than expected this year.
Driverless vehicles rely heavily on sensors to navigate the world. They’re vulnerable to attack if bad actors trick them into ‘seeing’ things that aren’t there, potentially leading to deadly crashes.
Machine learning technology was first to sound the alarm about the new coronavirus. Its success illustrates how AI is boosting epidemiology.
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