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 Cornell research team has introduced a new method that helps machines make connections between what’s on the ground and how it represented on a map – an advance that could improve robotics, navigation systems and 3D modeling.
A new study shows that using large language models like ChatGPT boosts paper production, especially for non-native English speakers, but the overall increase in AI-written papers is making it harder to separate the valuable contributions from the AI slop.
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.
