Two award-winning papers helped shape research in online auctions, mechanism design and digital markets.
HumanEgo learns robot skills from just 30 minutes of human demonstrations captured with smart glasses, reducing the need for costly robot training data.
He discusses how his early interest in video games led to a career building search engines and software tools for massive biological datasets.
New method removes problematic information from large language models without damaging their reasoning abilities.
Nakul Garg was honored for his doctoral research on energy-efficient mobile and wireless systems.
The university’s highest faculty honor recognizes her global leadership and research in spatial data science and visualization.
CLIP Lab director Marine Carpuat explains how multilingual AI systems can facilitate cross-language communication.
The RQS senior investigator helped develop specially engineered photonic structures to guide light in stable and resilient ways.
Ruohan Gao is building systems that allow humans to hear, see and feel the world in a multisensory virtual space.
From different angles, Ph.D. students Iman Gholami, Arshia Soltani and Danny Mittal are training AI to master mathematical concepts.
