Many companies are trying to build increased intelligence into their products.  A recent survey by XMOS found that 82% of engineers believed that AI would increase the competitive advantage of the products they design.  To support this drive for increased functionality there is a major expansion in the number of companies offering Embedded AI Chips and the required toolsets.  To help companies understand and adapt to this fast-moving market the KTN is running the Implementing AI webinar & workshop series.

The next Webinars and Workshops will be held on Friday 12th June and will focus on “Running AI at the Edge” – implementing AI in Smart Systems.

Event Overview & Registrations

Webinars (10:00 to 12:00) –

Workshops (13:00 to 15:00) –

Webinar Details:

Embedding low-cost intelligence with

Mark Lippett (CEO) XMOS & Henk Muller (CTO, XMOS)

In this session, XMOS introduces their recently announced crossover processor for embedded AI – – and explains why it provides the solution to achieving the AIoT big bang.

Adapting AI to available resource in mobile/embedded devices

Professor Geoff Merrett, Head of Centre for IoT and Pervasive Systems, University of Southampton

Managing the interface between available hardware resources, software requirements and user experience is increasingly complex. In this talk, Prof Merrett will present some of their work in this area – enabling AI algorithms to adapt to the resources available to them.

Case Study

A case study from a company who is building increased intelligence in their products.

Imagimob AI – Edge AI Software-tools-as-a-service

Anders Hardebring (CEO) & Alexander Samuelsson (CTO) Imagimob AB

Their toolset is offered as a SaaS (Software-as-a-service) that allows for fast and easy development of powerful Edge AI applications. This is designed for people with domain knowledge but not programming or AI skills. Imagimob was recently recognised as one of the top 10 Global AI startups.  

Workshop Details:

The workshops are designed for engineers and people who want to really understand the HOW of implementing AI.
Each 1-hour workshop is run by an expert and demonstrates how to develop an AI solution. These are technology rich sessions but are designed to be accessible to non-experts. 

Workshop 1  13:00 to 14:00

Delivering Milliwatt AI to the Edge with Ultra-Low Power FPGAs

Lattice gave an overview of their hardware and software toolset at the previous webinars.  This workshop covers the Lattice Semiconductor SensAI product set in more detail.

It discusses the design decisions that can be made to create embedded AI solutions using minimum power and a range of platforms

Workshop 2 – 14:00 to 15:00

How to build advanced hand-gesture detection using Edge AI and Imagimob AI

Learn how to build an advanced hand-gesture detector using Edge AI and a low power radar sensor in this step-by-step workshop.

During the workshop we guide you through the whole process of building an Edge AI application using our software service and off-the-shelf components. The learnings from this workshop is also applicable to other Edge AI use-cases such as material detection, anomaly detection, preventive maintenance etc.

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