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Dstl provides the UK with world-class capability in applying artificial intelligence, data science and machine learning to defence and security challenges.
Dstl ensures the UK can develop and exploit new sensor technologies for our defence and security, to find and assess potential threats and give information to decision-makers.
An introduction to how defence might lessen our contributions to and adapt to climate change.
Guidance on working securely with or for the Defence Science and Technology Laboratory (Dstl).
A simple guide to understanding and describing the trustworthiness of autonomous systems and associated artificial intelligence (AI) algorithms.
Find out how to submit your research to Athena, Dstl's central repository of MOD-sponsored scientific and technical research reports.
A simple guide to quantum physics, demystifying quantum technology using everyday language, familiar examples and analogies.
A simple guide and framework for thinking about artificial intelligence (AI) and autonomy from a systems perspective.
Dstl’s incinerator facility near Salisbury provides a specialist disposal solution for hazardous or high security waste materials.
Newletters providing updates for the forensic community in support of the Fingermark Visualisation Manual since 2003.
Dstl exploits the latest in robotics and AI to create effective and trustworthy uncrewed platforms and autonomous systems for the UK’s security and defence.
The Defence and Security Accelerator seeks proposals for novel and innovative technologies for lightweight, rapidly deployable protection on the front-line.
This document complements the higher-level guidance in the government Analytical Quality Assurance (AQuA) book which is published by HM Treasury.
A guide to some different ways of visualising data and their respective strengths and weaknesses.
Dstl coordinates UK science and technology involvement in NATO and sponsors UK businesses and academic institutions to take part in these activities.
This Defence and Security Accelerator (DASA) competition seeks proposals for novel and innovative future space science and technologies.
How defence adapts in response to climate change.
A guide to machine learning techniques for limited data problems, including approaches for small amounts of data and for large amounts of unlabelled data.
Climate change and its effects on defence; exacerbating current issues while also creating new ones.
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