A new system developed by Cornell Tech researchers helps users detect when their online accounts have been compromised — without exposing their personal devices to invasive tracking by web services.
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.
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.
This summer, Cornell Tech welcomed the first-ever cohort of the City University of New York (CUNY) Honors Connect program, which culminated in a showcase of student-led research on July 31.
The Center for Teaching Innovation will host “What Works,” on Oct. 1, featuring presentations, the Canvas Course Spotlight awardees, and a poster showcase that will demonstrate engaged learning approaches from Cornell faculty teaching in a diverse range of courses and fields.
The research introduces the first framework for analyzing how digital authentication tools can be exploited in contexts such as intimate partner violence, elder abuse and human trafficking.