Text generators like GPT-3 can produce remarkably convincing writing, but they can’t do away with human supervision just yet.
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Todos os artigos de Machine learning
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Problems in the underlying data mean we can’t leave algorithms to decide things on their own.
Satellite technology and machine learning are helping track down illegal and environmentally damaging ‘dark fleets’ of fishing boats.
Artificial intelligence insatiable data needs has encouraged the mass collection of personal data, placing privacy at risk. But AI can help solve the very problem it creates.
Researchers from New York University are designing AI algorithms to help predict COVID-19 outcomes.
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.
Design bloggers have long had creeping suspicion of a more monolithic web, so a team of researchers decided to analyze the aesthetics of nearly 10,000 websites.
Job ads are 12% lower than expected this year.
Driverless vehicles rely heavily on sensors to navigate the world. They’re vulnerable to attack if bad actors trick them into ‘seeing’ things that aren’t there, potentially leading to deadly crashes.
Machine learning technology was first to sound the alarm about the new coronavirus. Its success illustrates how AI is boosting epidemiology.
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.
Social media platforms are increasingly offering mental health support tools to users. The jury is still out on whether it will do any good
The use of online health platforms is on the rise, allowing us to track and share our personal data. While such platforms have promise, significant scientific, ethical and privacy questions remains.
States are increasingly turning to machine learning and algorithms to detect fraud in food stamps, Medicaid and other welfare programs – despite little evidence of actual fraud.
The knowledge produced in designing and developing artificial neural networks may provide new insights into how our brains work.
Machines mostly innovate on narrow dataset, which limits their creativity.
Advancements in data analytics can prevent food wastage and save farmers from significant losses along the fresh produce value chain.
Traditional companies need to embrace high-quality data gathering to avoid being left behind by the next industrial revolution.
A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
A project involving tens of millions of patient records poses ethical issues, even though patients could ultimately gain. Here’s why privacy concerns are a hurdle.
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
