The Nonproliferation Archive (nonproarchive.com) is not a Fusion Labs project, as such, but it was built by Dr Ian Stewart alongside the other projects described on this site. The Nonproliferation Archive epitomises the types of project Dr Stewart is undertaking. The Nonpro Archive combines the old (historical materials) with the new (machine learning and AI).

Specifically, the Nonpro Archive leverages best in class open source software (Islandora) to house historic materials. It leverages machine learning approaches including Large Language Models (LLMs) and machine learning based transcription services (Whisper) to create document summaries and audio and video transcripts. 

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The premise of Fusion Labs is that the nonproliferation domain, like many other domains, can be usefully conceptualsed and examined as a data domain. By compiling all available relevant data, new connections can be identified and new insights can be gleaned. 

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The nonproliferation domain is full of highly interrelated data such as networks of individuals and organisations, scientific research networks, and trade networks. Graph databases offer potentially unique capabilities for storing and leveraging highly interrelated data. This project focuses on populating graph databases with nonproliferation data and building tools and approaches for its exploitation. The project is also exploring the costs and advantages of graph database approaches compared to the knowledge graph based approach which is being explored under a separate project. 

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This project focuses on the development of browser-based tools for link analysis (otherwise known as network analysis). Under this project, tools have been developed both to visualise data in the browser and to load data into the browser from various sources such as Neo4j, POST, selected remote APIs and CSV files.

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This project focuses on application of Large Language Models (LLMs) to nonproliferation problems. This includes identification of use cases, application of LLMs to these use cases, and exploring opportunities to train or retrain LLMs to make them better suited to these use cases. 

Ian Stewart discussed LLM use cases during a CNS seminar in January 2024. 

 

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Natural Language Processing has a number of important uses for nonproliferation purposes. This includes categorising news articles and extracting the names of entities, organisations, and facilities from text. This project focuses on training NLP models so that they are tailored to the needs of the nonproliferation regime. A focus of this project has been on preparing a corpse of news articles about nuclear issues to identify nuclear terms and entities mentioned in the text. This can enable the training or retraining of a machine learning model to extract nuclear-related terms. When applied in a news article analysis workflow, this could allow for the identification of nuclear facilities mentioned in the article to determine if the news article contains something new.

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This project focuses on the development of a nonproliferation Knowledgegraphs as an enabler for big data and machine learning in the nonproliferation domain. Imagine having a tool that lets you link together all your data and that provides insight into this data that answers specific questions.

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