Solicitation is open for U.S. small businesses to submit research proposals for homeland security technology needs.
Artificial Intelligence (AI)
S&T and CISA are partnering to develop the Cybersecurity Laboratory to promote research, collaboration, and testing.
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.
This discussion will address how S&T is investing in community-driven research and technology development to enhance resilience and help the country Build Back Better. Faced with disruptions brought on by COVID and the climate crisis, communities nationwide can shut down overnight.
Join us Thursday, August 26, 2021, from 1:00 – 4:30 p.m. ET for the inaugural Homeland Security Startup Studio: Converge event! This event brings together entrepreneurs, mentors, and inventors to form companies that accelerate and deliver commercial applications of DHS-relevant technologies from U.S. laboratories and research centers.
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.
Join S&T’s SVIP for the inaugural SVIP Demo Week: a virtual showcase of 26 SVIP-funded startups and their projects supporting DHS components.
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.