The Advanced Data Analytics for Proliferation Detection (ADAPD) program held a two-day digital technical change assembly not too long ago.
The purpose of the assembly was to spotlight the science-based and data-driven evaluation work performed by ADAPD to advance the state-of-the-art to speed up synthetic intelligence (AI) innovation and develop AI-enabled methods to boost the United States’ functionality to detect nuclear proliferation actions across the globe. ADAPD is creating new capabilities for predictive modeling and multi-phenomenology detection to allow detection of rising nuclear proliferation threats and early efforts to develop nuclear weapons far sooner than has even been attainable.
The technical change introduced collectively researchers from Lawrence Livermore, Los Alamos, Oak Ridge, Pacific Northwest and Sandia nationwide laboratories and the Nevada National Security Site.
The program is funded by the National Nuclear Security Administration‘s (NNSA) Office of Defense Nuclear Nonproliferation R&D. The program directly addresses the office’s mission by creating capabilities (each strategies and labs-resident experience) to allow earlier detection of low-profile nuclear proliferation.
Jamie Van Randwyk, LLNL deputy enterprise supervisor and mission lead, mentioned the general focus of this system has shifted in a giant manner throughout FY21 towards “mission transfer.”
“There is still plenty of R&D going on, and the application of developed methods, algorithms and tools to real-world problems is now becoming a primary feature of the project,” he mentioned. “This technical exchange featured talks by researchers with a special emphasis on how their work connects to the mission.”
The occasion is one in all two annual conferences designed to facilitate data sharing between researchers and generate dialogue about science, know-how and purposes of project-funded analysis. This assembly would have taken place in individual at one of many enterprise companion laboratories however COVID-19 impacts have prevented that for the final 12-plus months.
The assembly additionally is a chance to replace Angela Sheffield, senior program supervisor for the Office of Proliferation Detection in Defense Nuclear Nonproliferation R&D at NNSA, on enterprise progress and new developments.
“ADAPD is working hard and fast to address two of the most pressing issues in national security,” Sheffield mentioned. “This includes the threat of nuclear weapons and the race among global powers to develop and deploy artificial intelligence.”
Sheffield mentioned to remodel nationwide safety with AI, the United States wants the next-generation of synthetic intelligence – revolutionary strategies and applied sciences that improve sense-making and decision- making in high-consequence and specialised missions.
“Through the technical exchange, ADAPD accelerates progress against its research agenda to deliver cutting-edge decision intelligence methods to the national security enterprise and AI technology sector faster,” she mentioned.
Sheffield mentioned the work is very necessary and never being performed elsewhere. DOE’s specialised R&D in AI and its purposes to nationwide safety are world-class. ADAPD is central to remodel nationwide safety with AI and win in competitors and battle with Russia, China and rising threats.
Van Randwyk mentioned ADAPD is shifting right into a section the place this system is transitioning know-how to mission companions. This includes deep understanding of their wants and incorporating their suggestions into our R&D. ADAPD is a five-year program and because it strikes into years 4 and 5 (FY22 and FY23), this system is concentrated on guaranteeing that the work isn’t merely “thrown over the wall” to stakeholders.
“We want to ensure that the work is transitioned in such a way that it has daily meaningful impact on the nonproliferation mission,” he mentioned. “We anticipate transitioning software, algorithms, process and methodologies, all as appropriate to the individual mission owners.”