The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses and financial information from encoded datasets.
A new approach, called WildCAT3D, is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening new possibilities in industries such as gaming, virtual tourism and cultural preservation.
As researchers are racing to find greener ways to power AI, a new study explores a promising solution: analog in-memory computing, utilizing analog chips.
A first-of-its-kind fellowship program embeds mid-career professionals in New York City government agencies, accelerating critical projects and deepening Cornell Tech's partnership with the city.