DASA has announced a new contract for AI warships with advanced decision-making technology across nine projects.
The new funding from DASA (Defence and Security Accelerator) will go towards projects creating AI warships with advanced intelligence processing systems, beginning with nine projects. The first projects will share an initial £1 million to develop technology and innovative solutions to overcome increasing ‘information overload’ faced by crews as part of DASA’s Intelligent Ship – The Next Generation competition.
Intelligent Ship is focused on inventive approaches for Human-AI and AI-AI teaming for defence platforms – such as warships, aircraft, and land vehicles – in 2040 and beyond. Although titled Intelligent Ship, a warship is just the prototype demonstrator for this competition – the project will inform development relevant to all defence equipment and military services.
Technical Lead from Dstl, Julia Tagg, said: “This DASA competition has the potential to lead the transformation of our defence platforms, leading to a sea change in the relationships between AI and human teams. This will ensure UK defence remains an effective, capable force for good in a rapidly changing technological landscape.”
“Crews are already facing information overload with thousands of sources of data, intelligence, and information. By harnessing automation, autonomy, machine learning and artificial intelligence with the real-life skill and experience of our men and women, we can revolutionise the way future fleets are put together and operate to keep the UK safe.”
DASA: Official DPRTE 2020 partner.
DASA, on behalf of the Defence Science and Technology Laboratory (Dstl), is looking at how future defence platforms can be designed and optimised to exploit current and future advances in:
- Automation
- Autonomy
- Machine learning
- Artificial Intelligence.
These key areas of research will look to address the complex and constantly evolving threats to national security. Innovations developed in phase 1 of the competition could later help determine the different platform types, size and role of future platforms as well as potentially being adapted and integrated into the existing fleet.
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Post written by: Vicky Maggiani
Vicky has worked in media for over 20 years and has a wealth of experience in editing and creating copy for a variety of sectors.
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