Within the National Nuclear Security Administration, the Office of Defense Nuclear Nonproliferation Research and Development (DNN R&D) is leading efforts to drive advances in artificial intelligence and accelerate the adoption of AI-enabled technologies to solve nuclear nonproliferation and national security challenges.
The goal is to incorporate AI into advanced techniques for detecting nuclear weapons and materials. According to the NNSA, these detection capabilities support the nuclear nonproliferation and arms control goals of the United States, while also driving the development of new capabilities.
Earlier this year, DNN R&D sponsored the second workshop in a series on “Next-Generation AI for Proliferation Detection,” focused on domain-aware methods: computational techniques to combine domain information with data-driven AI models. While commercial AI is reaching great heights, the specific needs of nuclear nonproliferation require next-generation technologies uniquely suited to the field of national security.
The workshop: The workshop spanned four challenge areas specific to this mission:
- Complex and noisy environments.
- Sparse data and rare events.
- Robust deployment and decision support.
- Early proliferation detection and signature discovery.
The projects: Click here to read more about the following four projects presented by researchers who participated in the AI workshop:
- Global-scale cross-lingual proliferation expertise identification, monitoring, and forecasting.
- An artificial neural network system for special nuclear material detection in photon-based active interrogation scenarios.
- Applying domain-aware AI on the CBRN (chemical, biological, radiological, and nuclear weapons) battlefield.
- One-shot target detection via physics-informed training.