Cornell information science researchers have developed a method that can help online advertisers ensure they’re reaching their intended audience and reduce “skew” – under-delivery to certain demographic groups.
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Computer framework generates ‘shadow art’ from scan of an object
Researchers at Cornell Tech and the Cornell Bowers College of Computing and Information Science have created a artificial intelligence framework, ShadowDraw, that can create “shadow art” – partial line drawings that are completed by the shadow cast from an object – by simply scanning the object.
Amazon partnership establishes Cornell AI security initiative
Artificial intelligence agents – also known as agentic AI – can now build and launch software based on a few prompts. But AI agents can produce incorrect, misleading, and even malicious code that hackers can exploit. Thanks to a gift from Amazon, Cornell will lead the development of safety protocols to shore up AI agents and the code they produce.

Cornell Chronicle
Can AI plan for heat emergencies better than simple rules? It depends
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Inside baseball: AI-enabled enforcement tech takes time, testing
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Digital research repository arXiv to start new chapter as nonprofit
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Cornell Chronicle
New method helps online ads reach overlooked groups
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Smart drones, safe skies: Student’s system tests, coordinates drone fleets
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Cornell Chronicle
Student projects earn CIDA Research Innovation Fund awards
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What gets built in the MPS Project course? These 4 tools offer a glimpse
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Cornell Chronicle
Amazon partnership establishes Cornell AI security initiative
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- Real-World Impact

Cornell Chronicle
Can robots read the room?
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