An algorithm named AICAN has been ‘taught’ the entire canon of Western art history – and now produces, titles and sells works of its own.
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Later this month, Christie’s will be auctioning its first piece of AI art – a portrait created via machine learning.
Artificial intelligence and data analytics are transforming the practice of law.
Those warning about a machine takeover typically assume AI will develop super intelligence. Here’s what the science says.
New research shows how smart aircraft can learn to use updrafts of warm air to stay in the sky.
The success of current conversational AI is based on the premise that they know and understand nothing of the world.
The Achilles’ heel of law technologies: training. Only 10% of such initiatives are aimed at law students, so how should this issue be managed to win the AI race?
Artificial intelligence can detect patterns in your shopping behaviour that can help retailers deliver better deals to you, and then suggest things you never even knew you wanted.
The new technology behind machine learning-enhanced fake videos has a crucial flaw: Computer-generated faces don’t blink as often as real people do.
With the iPhone X, facial recognition is spreading throughout society. How does it work? What technologies enable it?
Technological professionals are the first, and last, lines of defense against the misuse of technology.
Machine learning is changing the world in ways that we are just beginning to appreciate. But could it change the way we do science and the reasons why we do science?
Testing new industrial chemicals is essential for public health and the environment. But animal testing is costly, and too many chemicals are left untested. A new AI tool may solve the problem.
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?
Project Debater looks like machines are ready to understand humans, but the reality is we’re still in the earliest days of AI.
We have developed a system that combines human intuition with machine learning to provide support for people making complex decisions.
It could seem attractive to try to teach computers to detect harassment, threats and abusive language. But it’s much more difficult than it might appear.
Information extracted from copyrighted material should not be seen as an infringement. Such analytical use is good for society.
Amazon, Google and Apple’s attempts to understand the tone of human voices can reflect human biases.
Google’s latest AI promises to help arrange your life by making appointment for you over the phone, but it’s limited by its rote learning of the simple tasks of everyday life.
Principais colaboradores
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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
