An automatic system to determine political ideology from online posts could be a powerful tool against online radicalisation.
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Artikel-artikel mengenai Machine learning algorithms
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Can artificial intelligence transform the search for alien intelligence?
AI’s ability to identify ‘technosignatures’ missed by classical algorithms is an exciting step forward for radio astronomers.
People often struggle to distinguish between real faces and artificial ones made by a computer.
From ChatGPT to Lensa, it feels like AI is here to take over. But despite some impressive results, such systems still have plenty of limitations.
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.
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.
You need an AI and lots of data to work out whether there’s any foul play in a chess game.
‘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?
Pinpointing the molecular targets behind the subjective effects of psychedelic drugs could help clinicians and researchers better treat psychiatric conditions.
Pinpointing the chemical compounds that make a fruit tasty to consumers can help producers breed for even more flavorful crops.
Inclusivity and diversity also need to be at the level of identifying values and defining frameworks of what counts as ethical AI in the first place.
Individuals who experience suicidal thoughts can show signs of this in the language they use. We analysed more than 100 suicide notes to find these language patterns.
Machine learning is great at finding patterns but doesn’t know what those patterns mean. Combine it with knowledge gained from genetic research and you have a powerful view into the workings of cells.
Machine learning offers improved access to affordable testing and quality of care for those who are unaware of their hepatitis B status.
Through the act of suggesting some words and not others, the predictive text features in our devices change the way we think — and therefore shape our culture.
Combining archaeological evidence, aerial scans and machine learning algorithms, researchers modeled how this medieval city grew over time.
Kontributor teratas
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Lecturer in Business Analytics, University of Sydney
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Associate Professor
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Professor of Medicine, Pharmacology and Biomedical Engineering, University of Illinois Chicago
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Senior Lecturer in Interaction Design, Queensland University of Technology
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Professor of Psychology, Director of the Centre for the Politics of Feelings, Royal Holloway University of London
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Senior Research Scientist at the Australian E-Health Research Centre., CSIRO
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Associate professor, Australian National University
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Principal Research Scientist, Australian eHealth Research Centre, CSIRO
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Professor of Horticultural Sciences, University of Florida
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Professor of Computer Science, University of California, Berkeley
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Assistant Professor of Anthropology, University of Oregon
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Senior research fellow, Curtin University
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Senior Lecturer in Behavioral Data Science, University of Technology Sydney
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Research Scientist, Australian National University
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Sir Bernard Lovell chair of Astrophysics and Director of Jodrell Bank Centre for Astrophysics, University of Manchester
