To harness a video game's educational potential, Cornell computer scientists have developed a modification to 'Minecraft' that uses artificial intelligence to tell players whether their buildings fit into certain architectural styles, and offers ideas for how the structures could be improved.
If everyone uses algorithmically generated profiles, users trust them, according to a new study from Cornell researchers. However, if only some hosts choose to delegate writing responsibilities to artificial intelligence, those with AI-generated profiles are likely to be distrusted.
A new predictive model shows that once political polarization becomes too extreme, people won't be able to unite even in the face of a challenge that threatens society's survival.
The College of Arts and Sciences has awarded 14 New Frontier Grants totaling nearly $2 million to faculty members pursuing research projects ranging from the physics of quantum computing to the design of new musical instruments.
Sarah Kreps, professor of government and international relations at Cornell University, says interference in elections like Super Tuesday can come from machine tampering, in addition to online disinformation campaigns.
Evolutionary biologist Ian Owens envisions building broad coalitions that unite government, industry and an engaged public, and making sustainability the focus of his work.
Faculty members are finding creative ways to deal with generative AI in their courses. Winners of Cornell’s 2024 Teaching Innovation Awards will discuss their approaches on April 11.
The funding will support preliminary disease-related research, in the latest in a series of efforts to create new opportunities for interdisciplinary research.
Computing-related retraumatization can be lessened or avoided in a few low- or no-cost ways, according to research co-led by Nicola Dell and Tom Ristenpart of Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science.
The Sept. 27-28 symposium “Bridging the Divide: Machine Learning in Medicine,” held at the Cornell Lab of Ornithology, brought together researchers and clinicians from Cornell’s Ithaca campus and Weill Cornell Medicine to discuss recent work and initiate collaborations in the field of machine learning in medicine.
