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.
The SRI-managed Quantum Economic Development Consortium convened quantum innovators and members of Congress to explore the future of quantum technology.
SRI’s work on DARPA’s HAPPI program seeks to measurably advance the capability of circuits that transmit information using light rather than electrons.
To chart the future of human-machine teaming, SRI’s COLLEAGUE project is building an AI-based system designed to act as a true collaborative partner.