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This event is brought to you by Cambridge Wireless and the RIN.
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10/07/2024
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When:
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10 July 2024
1330-1730
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Where:
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Bradfield Centre
184 Cambridge Science Park,
Milton Road
Cambridge, Cambridgeshire CB4 0GA
United Kingdom
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Contact:
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Clare Stead
comms@rin.org.uk
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« Go to Upcoming Event List
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Full information and registration is available on the Cambridge Wireless page here. RIN Members - please keep an eye on your e-mails for a discount code for this event and contact Clare Stead at comms@rin.org.uk if you need assistance with this. ABOUT THE EVENT The AI revolution has arrived and vast sums of money are being poured into AI assistants and AI workforce replacements/augmentations. The field of PNT has been making use of traditional analytical and procedural Machine Learning for decades in areas such as sensor fusion, filtering, and data analyses but we are still at the beginning of understanding the benefits and risks of applying new data-driven techniques to our sector.
Important questions like "Can neural networks be used within a safety critical navigation system?" are currently open to debate. In this half-day event run by Cambridge Wireless and the Royal Institute of Navigation we will be hearing from experts across academia and industry and discussing where we think AI can have the most significant impact on Positioning Navigation and Timing.
This event is delivered in collaboration with Cambridge Wireless and will provide delegates with ample opportunities to network with fellow attendees to explore the themes of this event.
This event is free to members of both Cambridge Wireless and the Royal Institute for Navigation (RIN). Tickets for non-members are £50 plus VAT.
Sponsorship: We have a sponsorship opportunity available for this event so if you are interested in maximising your organisation’s profile, please contact clare.kettle@cambridgewireless.co.uk for further information.
AGENDA | GEND | | | 13:30 | Registration and networking over tea and coffee | | 14:00 | Welcome from Cambridge Wireless, David Bartlett, u-blox UK and Cambridge Wireless SIG Champion | | 14:05 | Introduction from our Ramsey Faragher, Royal Institute of Navigation, AI Working Group Chair & Cambridge Wireless SIG Champion | | 14:15 | 'Reacting, Fast and Slow' Professor Neil Lawrence, The DeepMind Professor of Machine Learning, University of Cambridge. Senior AI Fellow, The Alan Turing Institute & Visiting Professor of Machine Learning, University of Sheffield What is fundamental to our intelligence? In this talk building on the ideas in The Atomic Human I argue that the external world is key to our intelligence, and how that world is filtered before we perceive it. This leads to the Eisenhower illusion, where we feel ourselves in charge but we are in fact reliant on fast reacting systems. | | 14:45 | Q&A | | 14:50 | 'Coding design choices in Forsberg’s new Orion optical navigation engine; AI vs Data Science.’ William Shepherd, Technical Sales Manager, & Nathan Daniels, Forsberg Services | | 15:10 | ‘Title’ Matt Gadd, OXA Narrative | | 15:30 | Refreshment break | | 16:10 | ‘The Need for Large, Centralised Benchmark Datasets in PNT’ Téo Bloch, Senior Data Scientist, Telespazio UK Ltd This talk will discuss the benefits of centralised, open benchmark datasets in PNT and how this should be a priority for trust building, rather than other popular topics (e.g., explainable AI). | | 16:30 | ‘Improving the PNT performance with AI techniques: benefits and challenges’ Dr Ivan Petrunin, Centre for Autonomous and Cyberphysical Systems, Cranfield University Continuing development in the area of autonomy, in particular, drone operations and advanced air mobility, sets tighter requirements for the performance of the PNT solutions required in these systems and their robustness. AI is seen as a powerful tool able to bring the PNT system performance to a new level, however, a careful approach is required to balance the accuracy and reliability of such a solution, especially for operation in diverse conditions. In this talk we share views on improvements that AI can bring to the PNT system performance and discuss challenges and lessons learnt using several examples of multi-sensor navigation systems. | | 16:50 | Panel Session with all speakers, Chaired by Ramsey Faragher, Royal Institute of Navigation, AI Working Group Chair & Cambridge Wireless SIG Champion | | 17:20 | Closing remarks and event closes | | With the permission of the speakers, presentations will be available upon request after the event. |
Click here for registration and further information
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