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.
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
Strike a pose: Creating more realistic multi-person images
Communications of the ACM
Wilkens discusses how to improve the historical accuracy of LLMs
Cornell Chronicle
Identifying high-needs patients helps predict future health spending
Cornell Chronicle
For the birds: Parakeet co-designs its own perch
Cornell Chronicle
Weak AI regulation may backfire, making products less safe
2026 LinkedIn grant recipients to drive innovation in GenAI, LLMs
Gomes in Daedalus: How to train AI to reason like scientists
Cornell Chronicle
Can AI plan for heat emergencies better than simple rules? It depends