In order to develop smarter product this processing has to be done on the embedded system itself. But, the problem is that traditional embedded solutions cannot handle the processing power required. The solution is not just faster silicon - but new system architectures and implementations.
At this event, we will bring together "Embedded AI” technology suppliers & technology users to enable an understanding of the opportunities. The event is designed for people involved in the management and implementation of products – from developers to CTOs.
Programme
09:00 Registration and coffee
10:00 Welcome - Nigel Rix (Head of Enabling Technologies, KTN)
10:05 Impact of AI on traditional systems - Prof David Brown (Professor of Industrial Systems, Portsmouth)
10:20 Architecture for Future Intelligent Technologies
Matt Horsnell (Principal Research Engineer, Arm Research)
10:50 Embedded AI: The story so far and the upcoming applications - Ajit Jaokar (Director, AI Labs for Future Cities – Madrid)
11:15 Coffee Break
11:45 PlasticARMPit – a printed electronics Neural Network
Emre Ozer (Principal Research Engineer, Arm Ltd)
12:00 AI technologies for the Internet of Things - Ben Cope (Segment Marketing Manager, Intel)
12:30 nVidia Platforms - Eddie Seymour (European Technical Director, nVidia)
13:00 Lunch
14:00 Impact of AI on Robotics - Rich Walker (CEO, Shadow Robot)
14:25 Spatial AI algorithms - The commercial opportunities and the technical challenges - Owen Nicholson (CEO, SLAMCore)
14:50 Mars Rovers to embedded industrial inspection solutions using GPUs for machine intelligence - Mark Woods (CTO, SciSys)
15:15 Machine learning at the edge - applications and future use cases - Tom Parsons (Director, Spotlight Data)
15:40 Discussion - Phil Williams (KTN)
16:00 Networking
17:00 Close
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