Using a new strategy called superhuman imitation learning, Sanjiban Choudhury, assistant professor of computer science, aims to train home robots more efficiently.
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NIH funds cross-campus effort to train experts in AI and nutrition
9 receive 2023 Bowers CIS-LinkedIn grants
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.
Undergrads relish challenging Nexus Scholar research projects
Nexus Scholars spent eight weeks this summer working with researchers on campus on projects in the humanities, social sciences and physical sciences.
Artificial intelligence may put private data at risk
Machine learning models, which use data to help computers learn for themselves, are vulnerable to privacy leaks and malicious attacks, Cornell Tech researchers have found.
Analysis of court transcripts reveals biased jury selection
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.
Data scientists predict stock returns with AI and online news
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.
Machine learning enhances X-ray imaging of nanotextures
Cornell researchers have revealed the intricate nanotextures in thin-film materials, offering scientists a new, streamlined approach to analyzing potential candidates for quantum computing and microelectronics, among other applications.