1.30pm – 5.20pm10 July 2024+ Add to calendar
Cambridge
The Bradfield Centre
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 the Royal Institute for Navigation (RIN) 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.
David Bartlett works in the positioning technology (R&D) group at u-blox with a focus on hybrid positioning: bringing together GNSS with terrestrial systems such as UWB and V2X, primarily in support of future autonomous vehicle, driverless car and robotics applications but also for IoT and indoor positioning. Prior to this he was CTO and co-founder of Omnisense delivering high precision indoor IoT tracking solutions. He also worked at Cambridge Positioning systems with a focus on cellular positioning and network aided GNSS techniques.
Knowledge Transfer Manager, Positioning, Navigation, Timing and Quantum, KTN
Bob Cockshott
Knowledge Transfer Manager, Positioning, Navigation, Timing and Quantum, KTN
After 25 years in the space industry working mainly on electro-optical payloads, Bob has spent the last 13 years in the government-funded Knowledge Transfer Network, supporting business in position, navigation and timing, and more recently also quantum technology. Bob has taken a special interest in GNSS vulnerability, and has organised international conferences on vulnerability and its mitigation. Bob is a member of the Cabinet Office PNT Technical Group and chairs the Royal Institute of Navigation’s Technical Committee. Bob is a member of the International Time and Sync Forum Steering Group and is also a Cambridge Wireless Location Based Services SIG Champion.
AI Working Group Chair, Royal Institute of Navigation
Dr Ramsey Faragher
AI Working Group Chair, Royal Institute of Navigation
Dr Ramsey Faragher is the Founder, and former President and CTO of Focal Point Positioning, a Fellow of the Royal Institute of Navigation, and a Fellow of Queens' College, at the University of Cambridge. He is the inventor of the Supercorrelation digital signal processing technique, which has redefined the state of the art in GPS positioning. He is the author of dozens of patents, and has been the recipient of numerous awards within the positioning and navigation ecosystem. His company is pioneering improvements to smartphone and automotive navigation systems, and in the past during his time in the Defence sector he has developed technologies that have been to the bottom of the ocean and all the way to Mars. He also helped to improve the bluetooth tracking capabilities of various globally-deployed contact tracing technologies during the Covid pandemic. He regularly contributes to technology podcasts, writes for Forbes, and has provided science advice for two television production companies. Ramsey lives with his family in Cambridge and is currently navigating the challenging landscape of having three small and adventurous children.
Senior Staff Engineer, Qualcomm Technologies International
Ben Tarlow
Senior Staff Engineer, Qualcomm Technologies International
Ben has worked in positioning for 15 years, developing algorithms for satellite, cellular and other terrestrial RF technologies. At Qualcomm, Ben works in the Advanced Algorithms group, where current research areas in location are data fusion, use of sensor data for positioning and fitness applications; one day, he hopes to be given the remit to explore the area of olfactory positioning. Ben has a background in Pure Mathematics and a PhD in Combinatorics. He has over 20 different patents filed or granted, mostly on subjects relating to positioning.