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.
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?
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.
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy in either direction, new Cornell research finds.
Tapomayukh “Tapo” Bhattacharjee plans to develop a robot-assisted system that will not only prepare meals for people with severe mobility limitations but also feed them and clean their table afterward.
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.