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.
Academic rigour, journalistic flair
Articles on Artificial intelligence (AI)
Displaying 781 - 800 of 1318 articles
As governments consider the use of surveillance technologies to trace and contain the spread of COVID-19, it is important to consider human rights in the implementation.
Robots can’t get COVID-19, so employing them in some jobs could help ease the limitations of stay-at-home orders and keep frontline workers protected.
Journalism is not keeping pace with the evolution of new technologies. Newsrooms need to take advantage of what AI can offer and come up with a new business model.
We need to challenge the simplistic assumptions that AI will automatically improve the world.
America’s news reports and social media chatter open a window into the nation’s psyche. An AI-based text analysis of these words shows that the coronavirus is driving up familiar social ills.
As more and more Americans are laid off, employers have to consider the cost of letting their staff go.
Aspiring singers can now use apps to record professional-sounding songs from their phones. This has the potential to disrupt the recording and publishing industry.
With the enhanced capabilities of today’s robots and drones, recent examples from China and Thailand and ongoing research show that they have the potential to help us navigate disasters.
Artificial Intelligence, 3D printing and blockchain can make supply chains more resilient - but only if we (and they) collaborate.
Nigeria’s education system must embrace artificial intelligence technologies to join the fourth industrial revolution.
The internet has allowed pseudoscience to flourish. Artificial intelligence could help steer people away from the bad information.
Based on current available data, our model predicts by March 31, the number of deaths worldwide will surpass 4,500 and confirmed COVID-19 cases will reach about 150,000.
PODCAST: The third part of a series from The Anthill podcast on how personalised medicine may become in the future.
Machine learning technology was first to sound the alarm about the new coronavirus. Its success illustrates how AI is boosting epidemiology.
You’d thinking flying in a plane would be more dangerous than driving a car. In reality it’s much safer, partly because the aviation industry is heavily regulated. Airlines must stick to strict standards…
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.
What’s more, higher education holds the key to ensuring humans are equipped with the necessary skills to work alongside AI.
Having robots and other AI systems tell people what the AIs are doing makes them more trustworthy. A study finds that how a robot explains itself matters.
Pathogens rapidly evolve resistance to antibiotics. AI could keep us a step ahead of deadly infections.
Top contributors
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Professor of AI, Research Group Leader, UNSW Sydney
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor in Robotics, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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PhD in machine ethics, University of Canterbury
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Assistant Professor, Psychology, Concordia University
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor, Queensland University of Technology
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Professor of Cognitive Neuroscience and Director of the Sheffield Robotics Institute, University of Sheffield
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
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Research Fellow in AI Accountability, Queensland University of Technology
