The Nonpro Notes series shares specific insights resulting from the research of the CNS DC team. The series generally focuses on methodologies, tools, and data that is more narrow and specific in scope than would generally be found in a peer-reviewed journal.
The CNS DC team publishes the Nonpro Notes as a way to share our findings and encourage future research and publications.
A Framework to Evaluate the Risks of LLMs for Assisting CBRN Production Processes
This paper examines how Large Language Models (LLMs) could contribute to the proliferation of chemical, biological, radiological, and nuclear (CBRN) weapons.
Export Control and Emerging Technology Control in an Era of Strategic Competition
This paper provides an overview of changes taking place in relation to export controls, particularly from a US perspective.
The Status of the Front End of Saudi Arabia’s Nuclear Fuel Cycle
Reviewing the claims underlying recent media reports of KSA uranium mining and milling.
Machine Learning Applications in Nonproliferation
Assessing algorithmic tools for strengthening strategic trade controls.
