Smart Information Flow Technologies (SIFT) is a research and development consulting company specializing in Human Factors and Artificial Intelligence. SIFT's goal is to make the information flow between humans and technology better for both sides -- more efficient, productive, pleasant, and safer. In order to achieve this goal SIFT employs top engineers in the fields of Computer Science and Psychology who specialize in Human Computer Interaction, Interface Design, Human Performance, Artificial Intelligence, Network and Cybersecurity, and Politeness and Etiquette models.
Since our inception in 1999, SIFT personnel have extended the state of the art in a wide range of domains from commercial and military flight decks to DoD small unit operations and have authored well over a hundred papers documenting our many contributions to the state of the art in multiple fields.
A paper co-authored by SIFT Senior Researcher, Dr. David McDonald, has been accepted for presentation at the Second Annual Conference on Advances in Cognitive Systems (ACS 2013). Dr. McDonald will present the paper, titled "On the Representation of Inferences and their Lexicalization" at the conference in Baltimore Maryland on December 13, 2013.
SIFT's Fuzzbuster team has published two papers on meta-control and metrics for adaptive cybersecurity. The papers describe advances to the state-of-the-art in program analysis for rapidly and automatically identifying, characterizing, and repairing vulnerabilities in software. The publications include:
SIFT received the Patriot Award from the Employer Support of the Guard and Reserve (ESGR). The Patriot Award reflects the efforts made to support employees serving in the National Guard or Reserve, including flexible schedules, time off prior to and after deployment, caring for families and granting leaves of absence if needed.
For the SAFE-P II SBIR project, NASA has evaluated SIFT as "Exceptional" on all aspects of NASA's official Contractor Performance Assessment Report, including Quality of Product, Schedule, and Cost Control.
Dr. J. Benton has been awarded patent 8,473,447, "AI planning based quasi-monte carlo simulation method for probabilistic planning," with Dr. Sungwook Yoon, Dr. Minh Do, and Prof. Wheeler Ruml. This patent has a variety of applications including planning and scheduling in manufacturing, finding plans for mobile robots, and traffic management.