S&T has teamed up with Homeland Security Investigations (HSI) and others to develop the enhanced analytic platforms, tools, and capabilities required to countering human trafficking across the country and around the world.
Artificial Intelligence (AI)
DHS SBIR 22.1 Solicitation is now open for U.S. small businesses to submit research proposals for a broad range of 11 homeland security technology needs.
Admiral Douglas Schofield, Assistant Commandant for Acquisition & Chief Acquisition Officer, United States Coast Guard (USCG) provided a keynote, and seven SVIP startups demonstrated their technologies, followed by an AI, Society's Collective Approach to Getting It Right panel discussion.
Plan identifies research S&T will conduct to understand the opportunities and risks that accompany the rapidly changing AI/ML technology landscape and its impacts to DHS missions.
The U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T) presents goals that will enable S&T to conduct Artificial Intelligence and Machine Learning (AI/ML) research, development, test, and evaluation activities to support DHS mission needs, and to advise stakeholders on developments in AI/ML and the associated opportunities and risks.
DHS SBIR Program recently awarded funding to two small businesses to develop non-contact, inexpensive machine learning training and classification technologies.
DHS S&T partnered with the Johns Hopkins University Applied Physics Laboratory and Think-A-Move to develop Automated Speech Recognition technology.
DHS S&T SVIP announces $199,950 in Phase 1 funding to Lauretta AI, LLC, a start-up based in Arlington, Massachusetts, to adapt their video analytic solution to meet TSA’s needs.