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Thorsten Joachims named vice provost for AI strategy
Thorsten Joachims has been named vice provost for artificial intelligence strategy, a newly created position intended to bolster the Cornell AI Initiative. This new position further expands Cornell’s universitywide effort to advance leadership in research and education in AI, while creating, applying and evaluating AI as a tool across the university – from classrooms and laboratories to clinics and university processes. His appointment took effect Jan. 1.
Wilkens receives Schmidt Sciences award for humanities research
A research group led by Matthew Wilkens, associate professor of information science in the Cornell Ann S. Bowers College of Computing and Information Science, is the recent recipient of a Schmidt Sciences award to leverage AI in the humanities to unlock new insights in human history and culture.
MathGPT founders say site boosts students’ skills, confidence
The founders of MathGPT are featured on the January episode of the Startup Cornell podcast.
‘Rosetta stone’ for database inputs reveals serious security issue
The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses and financial information from encoded datasets.
AI improves flood projections under climate change
Physics-based models should be supplemented with AI hydrological models rather than relying on site-specific estimates, researchers find.
Computer vision connects real-world images with building layouts
A Cornell research team has introduced a new method that helps machines make connections between what’s on the ground and how it represented on a map – an advance that could improve robotics, navigation systems and 3D modeling.
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







