Fake videos generated with sophisticated AI tools are a looming threat. Researchers are racing to build tools that can detect them, tools that are crucial for journalists to counter disinformation.
L’expertise universitaire, l’exigence journalistique
Articles sur Deep learning
Affichage de 21 à 40 de 55 articles
Text generators like GPT-3 can produce remarkably convincing writing, but they can’t do away with human supervision just yet.
It’s easy to edit video of public figures to make them appear asleep, confused, drunk or cognitively impaired when they are not. The technique is being used to undermine Joe Biden’s campaign.
Pathogens rapidly evolve resistance to antibiotics. AI could keep us a step ahead of deadly infections.
Predicting life expectancy remains in the realm of science fiction, but it may soon be possible. Are we prepared for such information? And who else would benefit from this knowledge?
A research lab at the University of Saskatchewan is pursuing the applications of artificial intelligence and machine learning to healthcare diagnoses.
Why are three-pointer shots from the corner more efficient than the ones above the break? The answer: More than 90 percent of corner three-point shots are assisted.
Robots for tutoring? The desire to keep pace with technological change should not eclipse larger questions about how children’s development is impacted.
AlphaZero is a machine capable of defeating the most complex board games for the human mind, based only on its own learning experience, not on accumulated human knowledge.
Beware of the blind use of artificial intelligence: used as a “magic wand”, for example in an autonomous car, it presents risks.
Artificial intelligence techniques like deep learning and reinforcement learning are getting increasingly advanced and capable of helping people with a wide range of complex tasks.
With artificial intelligence, machines can now examine thousands of medical images for signs of disease. Will this technology replace doctors – or work side by side with them?
The chatbot industry sees more data as the answer to building a truly conversational system. But the industry may be teaching chatbots the wrong thing.
Thanks to new deep-learning techniques, AI has the potential to analyse, improve and contribute to the process of human discussion.
Computers today are fast and powerful but they still can’t think like a human when it comes to some tasks we find easy. That’s why tech companies are turning to neuroscience for help.
Smart machines are about to usher in the age of Industry 4.0.
The artificial intelligence that beat a world master at the game of Go is now to be directed at more complex global problems. So what can we expect?
While there is currently interest interest in artificial intelligence, it offers limited achievements, such as the autonomous car. Tomorrow, machines will learn alone and forge solutions.
Important advances have been made in the areas of automatic language processing and emotional computing, and that could have big implications for business.
A man was recently sent to prison for six years at least in part by the recommendation of a private company’s secret proprietary software.
Les contributeurs les plus fréquents
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Professor, ESCP Business School
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Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
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Professor of Strategy, Economics and Foresights, Hult International Business School
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Professor of AI, Research Group Leader, UNSW Sydney
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Research Fellow in AI Accountability, Queensland University of Technology
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Professor of Neuroscience and Mathematics, The University of Queensland
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Professor of Community Information, University of Michigan
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Leverhulme Fellow and Lecturer, Faculty of Law, University of Cambridge
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Research Fellow in Artificial Intelligence and Digital Games, University of York
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Lead AI for Missions, CSIRO
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Research Fellow, Robotics & AI, Queensland University of Technology
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Lecturer, University of Waikato
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PhD Candidate in Cognitive Neuroscience, The University of Queensland
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Professor of Machine Learning, University of Sheffield
