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 at Cornell Tech and Cornell Bowers engaged directly with 15 content moderators on Reddit to see exactly how they try to preserve the news sharing site's humanity in an increasingly AI-infused world.
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 health care industry is increasingly relying on AI – in responding to patient queries, for example – and a new Cornell study shows how decision-makers can use real-world data to build sustainability into new systems.
A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence – a step toward shrinking the carbon footprints of data centers and AI infrastructure.
