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Embedded AI Part 1- Smart Silicon

The Knowledge Transfer Network

Thursday, 23 November 2017 from 09:30 to 16:00 (GMT)

Embedded AI Part 1- Smart Silicon

Registration Information

Type End Quantity
Academic Registration Ended Free  
Industry Registration Ended Free  
Speaker Registration Ended Free  

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Event Details

AI, Neural Networks or Machine Learning technologies are being adopted in many circumstances, but usually the data is sent to a server for processing before being analysed and interpreted.

There would be many advantages of being able to do this analysis on the embedded system itself - faster decision making and the ability to implement AI in situations where the data link is not possible.

But the problem is that traditional embedded compute platforms cannot handle the processing power required. The solution is not just faster silicon - but new architectures and ways to implement systems.

This event will bring together technology suppliers and technology users to discuss the opportunities and barriers to the deployment of next generation systems. There will be presentations from experts (industry and academic) as well as current and potential users. They will present their knowledge, promote discussion and share learning.

The event is designed for technologists and implementers across research and industry. To ensure a good exchange of information the size of this event is restricted. Note this event is not designed as an introduction to embedded AI.

Exhibition: A small number of exhibitor places are available at this event charged at £100 +VAT. Please contact natasha.sim@ktn-uk.org or nigel.rix@ktn-uk.org if this is of interest.

Exhibitors:

NVIDIA logo  logo

Programme

09:00 Registration

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 Title to be confirmed

Ajit Jaokar, Director, AI Labs for Future Cities – Madrid

11:15 PlasticArmPit: Accelerating the Development of Flexible Integrated Smart Systems

Emre Ozer, Principal Research Engineer, ARM

11:30 Break & Networking

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 & Networking

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

 

This event is being organised by the KTN in cooperation with the EPSRC efutures network, and the Robotics & AI SIG

efutures logo   RAI SIG logo

 

 

Do you have questions about Embedded AI Part 1- Smart Silicon? Contact The Knowledge Transfer Network

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When & Where


Grange City Hotel
8-14 Cooper's Row
EC3N 2BQ London
United Kingdom

Thursday, 23 November 2017 from 09:30 to 16:00 (GMT)


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Organiser

The Knowledge Transfer Network

KTN Event

www.ktn-uk.org@KTNUKLinkedIn

 

The Knowledge Transfer Network is the UK’s innovation network. We bring together business, entrepreneurs, academics and funders to develop new products, processes and services.

We can help you develop ideas, expertise and technologies, that have the potential to be world-beating products. Central to what we do is the initiation and building of collaborations.

View our privacy policy here.

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