After Brazil’s exit, who might be on course to win in 2022? Experts crunch 150 years of big data to predict the winner.
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Articles on Machine learning
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The newest OpenAI text-generator is a marked improvement over its predecessor – but it still has its pitfalls.
Text-to-image generators like DALL-E and Stable Diffusion portend a future where anyone with a computer can fake a photograph of just about anything.
The story of Meta’s latest AI model shows the pitfalls of machine learning – and a disregard for potential risks.
Artificial intelligence could help create transparency and consistency in the legal system – our model shows how.
From space to the outback, meteorite-tracking tools are building the knowledge we need to prepare for a future asteroid impact.
A type of computer chip that mimics both the skin and brain could pave the way for wearable devices that monitor and analyze health data using AI right on the body.
Predictive policing has improved in leaps and bounds and become increasingly automated thanks to big data, data mining and powerful computers.
Potholes have appeared seemingly everywhere after the intense rains. They’re annoying and expensive to fix. But there may be a better way.
You need an AI and lots of data to work out whether there’s any foul play in a chess game.
AI art tools like DALL-E, Midjourney and Stable Diffusion are starting a revolution in the way art is made.
Scientists predict 56% of ‘data deficient’ species are probably at risk.
By tracking a meteorite found in Morocco back to its origin in an asteroid crater on Mars millions of years ago, scientists can learn more about how the planets formed.
Many approved drugs work on the body in ways that researchers still aren’t entirely clear about. Seeing this as an opportunity instead of a flaw may lead to better treatments for complex conditions.
A new AI tool that writes computer code on demand has programmers considering their future.
The AI AlphaFold can figure out the three-dimensional protein structure any string of amino acids will become. It has now exceeded its training by figuring out what makes some proteins glow.
A Google engineer claims one of the company’s chatbots has become sentient. Experts disagree, but the debate raises old questions about the nature of consciousness.
‘Vicootes’, ‘wa ch zod rea’ and other strings of gibberish seem to have special meanings to state-of-the-art AI models. What’s going on here?
We can use AI to protect nature and human health. But first, we have to expand AI beyond being entirely human-centred.
Would you trust a weather forecast made by a machine that had learned how weather systems behaved by reviewing thousands of past weather maps?
Top contributors
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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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Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
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Professor, ESCP Business School
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Professor of Machine Learning, University of Sheffield
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Professor of AI, Research Group Leader, UNSW Sydney
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Associate Professor
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Professor of Neuroscience and Mathematics, The University of Queensland
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
