This second round of grants from the five-year, multimillion-dollar partnership will fund high-impact research on topics ranging from large language models and recommender systems to dynamic information retrieval and algorithmic fairness.
Researchers are more likely to pen scientific papers with co-authors of the same gender, a pattern not solely due to gender representation across disciplines and time, according to joint research from Cornell and the University of Washington.
Cornell researchers have shown that data science and artificial intelligence tools can successfully identify when prosecutors question potential jurors differently, in an effort to prevent women and Black people from serving on juries.
Is artificial intelligence beginning to “understand” humor? In experiments using the New Yorker Cartoon Caption Contest as a testbed, researchers found that it’s making some progress, but isn’t quite there yet.
Filmmakers may soon be able to stabilize shaky video, change viewpoints and create freeze-frame, zoom and slow-motion effects – without shooting any new footage – thanks to an algorithm developed by researchers at Cornell University and Google Research.
Researchers have built a new, interpretable machine-learning framework that captures stock- and industry-specific information and predicts financial returns with greater accuracy than traditional models.
With artificial intelligence poised to assist in profound scientific discoveries that will change the world, Cornell is leading a new $11.3 million center focused on human-AI collaboration that uses mathematics as a common language.