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Introducing a single human-made data point can prevent AI models from cannibalizing themselves
Researchers have found that introducing human-made data into AI training can help to prevent AI model collapse.
Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. Potentially, the models will assist the medical sciences in overcoming present ...
People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.
When James Clerk Maxwell set out his famous equations 150 years ago, his model of electromagnetism included a piece of pure fiction: an invisible, all-pervasive “aether” made up of elastic vortices ...
RIT computer science professor Weijie Zhao has earned a National Science Foundation CAREER Award to defend machine learning ...
Artists and writers are up in arms about generative artificial-intelligence systems—understandably so. These machine-learning models are capable of pumping out only images and text because they’ve ...
MIT researchers discovered that vision-language models often fail to understand negation, ignoring words like “not” or “without.” This flaw can flip diagnoses or decisions, with models sometimes ...
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