RANSAC, a now widely referenced paradigm for robust computation in computer vision (a type of artificial intelligence used in image analysis), was introduced by SRI in 1981.
RANSAC interprets and smoothes data containing a significant percentage of gross errors, and is thus ideally suited for applications in automated image analysis where interpretation is based on the data provided by error-prone feature detectors.
A cherished SRI colleague and globally respected leader in education research, Mary Wagner leaves behind an extraordinary legacy of groundbreaking work supporting children and youth with disabilities and their families.
A global health leader is exploring how SRI’s robotic telemanipulation technology can enhance pharmaceutical manufacturing.
Researchers have developed a new framework that reduces generative AI hallucinations by up to 32%.