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Thank you to everyone who attended this years AI UK event, The UK’s national showcase of data science and artificial intelligence.

We hope you enjoyed the conversations discussed and the demonstrations on show throughout both days.

See you next year!

AI UK 2023
The Turing Research and Innovation Cluster in Digital Twins (TRIC: DT): Environment & Sustainability Theme

The Turing Research and Innovation Cluster in Digital Twins (TRIC: DT) has been established to democratise access to digital twin technology by providing open and reproduceable tools and techniques.
Professor Kirstine Dale from the Joint Centre for Excellence in Environmental Intelligence, a partnership between the Met Office and the University of Exeter and Dr John Siddorn from the National Oceanography Centre will co-direct the Environment & Sustainability themed TRIC: DT.
A digital twin is a virtual representation of an object or system, which is updated with observations as the system changes. Digital twins enable, monitoring predictions and improved decision making.
The Environment and Sustainability will research the use of digital twins to predict and mitigate the negative impacts of climate change, to reduce impacts of natural hazards and to support sustainable development, with an ambition to deliver a step-change in our understanding and resilience to environmental change and establish the UK as the global leader in environment aware digital twins (DTs).
The Natural Environment Research Council (NERC/UKRI) is funding work to develop a pilot DT based on the information management framework for environmental DTs roadmap jointly commissioned by NERC/UKRI and the Met Office, published in 2022.
Harnessing the potential of digital twin technology to make management decisions about protected natural habitats, the current project will build on a digital twin of the Haig Fras Marine Protected Areas (UK) to monitor biodiversity. Autonomous underwater vehicles provide images and data over time which can be used to measure the effectiveness of conservation measures and predict future scenarios under climate change.
A publicly accessible DT asset register will ensure that components and concepts developed for this biodiversity pilot are reusable in future projects. The pilot will also prioritise the framework of secure, resilient and interoperable data articulated in the 2022 roadmap.

AI UK 2023
E-scooter-based environmental monitoring

Tackling the climate crisis one scoot at a time, University of Bristol’s James Thomas and Sam Gunner have taken pollution monitoring on the road by developing e-scooter mounted pollution monitoring hardware capable of measuring pollution in multiple locations and with flexibility hitherto unachievable. Focusing on public health impacts such as particulate matter, volatile organic compounds, carbon monoxide and nitrogen dioxide, the devices are also able to measure ambient noise. The
project is ready to be trialled in Bristol this
year.

AI UK 2023
AI for the early detection of neurodegenerative diseases

Can AI be used to detect future dementia in patients? Working collaboratively to build AI models – as well as the necessary supportive research infrastructure, public engagement and policy strategy – this collaboration between Alzheimer’s Research UK, the Alan Turing Institute, the National Physical Laboratory and Oxford, Cambridge, Exeter and Newcastle Universities has a resounding answer: absolutely. Visit the EDoN demo to learn about this initiative utilising an inexpensive, low-burden digital toolkit to develop machine learning models capable of detecting dementia 15-20 years in advance of current techniques.

AI UK 2023
Sketch Me That Shoe

Need to find a new pair of shoes online, but finding it hard to come up with a sufficiently precise text description? Yi-Zhe Song (University of Surrey) has you covered. This demo shows you a ground-breaking new paradigm where you can take out your phone, quickly scribble a rough sketch and watch as the system returns all shoes matching your sketch. The result of over a decade of sketch research at the University of Surrey’s SketchX lab, the system works across different drawing styles – and doesn’t baulk if your artistic skills are somewhat underdeveloped.

AI UK 2023
A new approach to companion robot and well-being

This pioneering live demonstration featuring the companion robot and digital twin from Alexandre Colle (Edinburgh Centre for Robotics) combines innovative design, technology for social good, and data ethics. The customisable and sustainable robot, Maah, is a complex sensory device with a pillow-like form that uses a wide range of skins developed with 3D knitting technologies. Able to capture many data from users, the robot and its digital twin can reveal to both users and care stakeholders a wide range of relevant information.