The $1.7 million grant will help scientists with expertise in artificial intelligence and machine learning to address complex biomedical challenges in nutrition and health.
Cornell Tech researchers deployed “trashbots” in Brooklyn for two weeks in July. The goal of the experiment was to see how people interact with, and make sense of, service robots in public spaces. The cleaning was an added bonus.
Many medical studies record a patient’s race using only the broad categories from the U.S. Census, which may conceal racial health disparities, a new Cornell-led study reports.
Tree Folio NYC creates a high-resolution “digital twin” of New York City’s urban canopy, simulating how local conditions influence shading that is important to mitigating climate change and heat island effects.
Board Governance: Navigating Emerging Technologies and More in a Complex World, a new Cornell Tech immersion program, is set to prepare corporate board members for fast-paced evolutions driving the future of commerce.
This second round of grants from the five-year, multimillion-dollar partnership will fund high-impact research on topics ranging from large language models and recommender systems to dynamic information retrieval and algorithmic fairness.
The initiative is designed to improve standards of online privacy, safety and security, and to establish New York City as the epicenter of cybersecurity research.
Using a deep learning computer model and dashcam images from New York City rideshare drivers, Cornell Tech researchers were able to see which neighborhoods had the highest numbers of New York Police Department marked vehicles.
