Cornell AI News
Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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AI gives scientists a boost, but at the cost of too many mediocre papers
A new study by Cornell researchers showed that using large language models (LLMs) like ChatGPT boosts paper production, especially for non-native English speakers. But the overall increase in AI-written papers is making it harder for many people – from paper reviewers to funders to policymakers – to separate the valuable contributions from the AI slop.
Assessing and imagining the impact of Generative AI on Science
Is generative AI transforming the scientific enterprise — and if so, how? What enduring effects will these changes have, particularly at a moment when scientific inquiry is more essential than ever for addressing global challenges? And how can scientists and science policymakers best prepare for — and shape — these transformations? This three-day symposium takes these questions head-on through a sequence of talks, public panels, and discussions, covering topics including
‘Red team’ students stress-test NYC health department’s AI
People usually strive to be their true, authentic selves, but this fall, five master’s students at Cornell Tech adopted not only alter egos but also “bad intent,” in an effort to make AI safer for health workers serving people with diabetes.
What’s old is new: customizable system for sustainable cooling
Evaporative cooling is far from new – it has been used to cool living spaces and drinking water for centuries – but the Matter of Tech Lab at Cornell Tech has come up with a new way to deploy an old idea.
New 3D benchmark leaves AI in knots
In new research that puts the latest models to test in a 3D environment, Cornell scholars found that AI fares well with untangling basic knots but can’t quite tie knots from simple loops nor convert one knot to another.
From Greener AI to Richer 3D Worlds: 23 Papers Debuted at NeurIPS Conference
Cornell Tech faculty made a strong showing at the 2025 Conference on Neural Information Processing Systems (NeurIPS), held Dec. 2–7 in San Diego, presenting 23 research papers at one of the world’s premier gatherings for artificial intelligence and machine learning.
AI chatbots can effectively sway voters – in either direction
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy in either direction, new Cornell research finds.
Grants to support research at nexus of AI, climate science
As energy use associated with artificial intelligence climbs and sustainability challenges intensify, research is needed to make AI systems more efficient and more effective for environmental research.
The 2030 Project: A Cornell Climate Initiative, the Cornell AI Initiative and the Cornell Atkinson Center for Sustainability have announced an inaugural round of grant funding to support research at the intersection of AI and climate science.