Using AI to search for ET might help us find things we couldn’t even imagine we should look for, but to succeed we also have think critically about how we create and use that technology.
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By 2022, people in developed countries may see more fake news than accurate information. Artificial intelligence may be to blame – but could also help people sort out the truth from lies.
AI seems able to answer questions at the heart of humanitarianism – questions such as who we should save, and how to be effective at scale.
Europe loses as many trees to storms each year as Poland produces in timber. Until now, the models for predicting which trees are at risk have not been good enough.
The report of the mathematician and deputy of Essonne Cédric Villani renders his report on artificial intelligence today.
An email from Aleksandr Kogan sheds light on exactly how much your Facebook data reveals about you, and what data scientists can actually do with that information.
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.
A branch of AI research promises to deliver computers that evolve their own software but the tech industry has yet to catch on.
Can a computer model correctly predict the results of the first round in this year’s tournament? These mathematicians think so.
Machine learning isn’t reliable enough yet – and it’s short-sighted to only train this detection tech on jihadi content.
The history of human-machine collaboration suggests that AI will evolve into a “cognitive partner” to humankind rather than as all-powerful, all-knowing, labour replacing robots.
Does big data threaten how humans explore the natural world? We need to protect our impulses to observe, compare, play, discover and love, no matter what technological capabilities are available.
Predicting human behavior is big business. But science may never be able to do so with perfect certainty.
Google’s artificial intelligence has been taught to look for planets around other stars. It’s already making new discoveries that scientists have missed.
DeepMind’s machine learning collaboration with another NHS trust (this time, it’s applying the tech to breast cancer) kicks up more questions of trust.
For future machines to be as smart as we are, they’ll need to be able to learn like we do.
The new AlphaGo Zero artificial intelligence took just days to learn to play Go from scratch, with no human intervention. It even learned strategies never seen before in human play.
Blade Runner 2049 misses modern strides in artificial intelligence, which is now capable of performing creative work alongside humans.
Creating an ethical machine learning system is no simple task, but maths can help.
Combining machine learning, artificial intelligence and autonomous vehicles could revolutionize how people with disabilities get around their communities.
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
