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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.
Who should get paid when AI learns from creative work?
A new paper co-authored by Cornell law professor Frank Pasquale argues that the current copyright system is ill-equipped to handle a world in which machines learn from, and compete with, human creativity at unprecedented scale.
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.
‘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.
Researchers tackle AI’s energy problem with a greener fix
As researchers are racing to find greener ways to power AI, a new study explores a promising solution: analog in-memory computing, utilizing analog chips.
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.