Modern AI owes its existence to both cognitive and computer science. What you envision as its origin story can influence how you understand what large language models can do.
Articles on Machine learning
Displaying 1 - 20 of 369 articles
Water levels in the Great Lakes swing from one extreme to the other. An analysis using artificial intelligence reveals how (and why) weather causes them to fluctuate.
AI models could spot volcanic eruptions earlier – and new research says the lives saved make the occasional false alarm worth the price.
Computers break examples of human speech into small bits of sound, then put them together to sound like people do.
A standardized framework for regulating the safety and efficacy of AI in healthcare has yet to be established.
Dream-like states are not confined to sleep: the brain is able, very surprisingly, to produce the same mental experience independently of our state of vigilance.
Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.
Many marine creatures are among the 4,000 species affected by wildlife trafficking.
The Academy has decided to ban AI actors and scripts from the Oscars. But machine learning systems are actually used in cinema more often than most people realise.
Large language models can uphold falsehoods they or human users state, despite being presented with evidence to the contrary.
Landslide risk is rising as extreme rainfall intensifies. New tools using satellite data and AI can help map where failures are most likely.
Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models on track
Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.
Recent advances in computer vision and other types of artificial intelligence offer an opportunity for facial recognition to apply to bears and other animals.
AI shapes daily life but remains unreliable and costly. Canada can lead by investing in the mathematics that make these systems fair, efficient and trusted.
A new machine learning model explores the boundary between biological and nonbiological chemistry.
Predictive maintenance has massive potential for keeping machines running smoothly.
The world’s huge investment in AI relies on some big assumptions.
A subset of AI called reinforcement learning is helping scientists improve nuclear fuel technology, which they could use to power spacecraft and rockets.
To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a counterintuitive technique: fake it.
Top contributors
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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Professor of Statistics and Professor of EECS, University of Michigan
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Professor of Information Systems, Michigan State University
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Professor in Robotics, Queensland University of Technology
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Professor of Chemistry, Connecticut College
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Professor of Artificial Intelligence, University of Bath
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Professor of AI and Behavioral Data Science, University of Technology Sydney
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci
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Professor of Computer Science, Queen Mary University of London
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Associate Professor of Law and Analytics, Georgia State University
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Adjunct Senior Lecturer, Applied Ethics and CyberSecurity, Griffith University
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Professor of AI, Research Group Leader, UNSW