Artificial intelligence is everywhere, from the apps people use to the systems that shape hiring decisions and healthcare. But what happens when these tools don’t work equally well for everyone? That question drives the research of Allison Koenecke, a new assistant professor of information science at Cornell Tech.
Tianyi Chen is pushing the boundaries of artificial intelligence by asking a pressing question: What if AI could be engineered not just to optimize for a single outcome, but to make smarter, more balanced decisions — much like humans do?
A new study shows that using large language models like ChatGPT boosts paper production, especially for non-native English speakers, but the overall increase in AI-written papers is making it harder to separate the valuable contributions from the AI slop.
The Northeastern Robotics Conference (NERC), held Saturday, Oct. 11 at Cornell, featured more than 100 robots research projects from the region, including a shadowboxing droid and a backflipping robot dog.
Researchers from the Cornell Bowers have developed OriStitch, a new software and fabrication system that takes simple 3D objects and spins them into a design for a textile version using carefully placed stitches in fabric.
By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new insights and strategies for designing energy-efficient optical computing systems.
As generative AI reshapes how we communicate, work, and make decisions, Angelina Wang is making sure these systems serve everyone — not just a privileged few.