Artificial Intelligence now impacts every aspect of modern life and is key to the generation of valuable business insights. AI, Neural Networks or Machine Learning technologies are rapidly being adopted and applied across a range of products and systems, trying to further increase responsiveness and scale up intelligence.

As novel algorithmic approaches emerge, it is clear that we need new, innovative computing architectures to provide the performance required within the core network, and across embedded platforms.

The UK has considerable commercial and academic strength across this key area. We will bring together technology suppliers and technology users, from both academia and industry, to work towards an understanding of the latest developments in the field, and to identify current and future opportunities.

This series was organised by the KTN and eFutures networks and was designed for people involved in the management and implementation of AI based solutions from developers to CTOs.

There were four monthly webinars – each focused on a different aspect of the use of hardware in AI systems:

  • Hardware Challenges
• Running AI at the Edge
  • Vision Systems
  • High Performance Architectures

The following sections contain details of the presentations – with the slides and the session recordings.

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Implementing AI: Hardware Challenges

Find the slides here.

The Implementing AI: Hardware Challenges, hosted by KTN and eFutures, was the first event of the Implementing AI webinar series to address the challenges and opportunities that realising AI for hardware present. There were presentations from hardware organisations and from solution providers in the morning; followed by Q&A.

Memristive Technologies: from Functional Oxides to AI on a Chip byProf Themis Prodromakis, University of Southampton | Find the slides here.

Heterogeneous and Adaptive Computing for Energy Efficient AI by Dr Jose Nunez-Yanez, University of Bristol | Find the slides here.

Smarter Subsea Robots ‚Embedding AI in One of the Harshest Environments on Earth by Dr Iain Wallace, Rovco | Find the slides here.

Ultra-Low Power AI at the Edge with Lattice sensAI: The complete solution for AI inference by Matt Holdsworth, Lattice Semiconductors Inc | Find the slides here.

Implementing AI: Running AI at the Edge

Find the slides here.

To make products more intelligent, more responsive and to reduce the data generated, it is advantageous to run AI on the product itself, as opposed to in the cloud.

The focus of this webinar was the opportunities and challenges of moving the AI processing to the Edge. The webinar had four presentations from experts covering overviews of the opportunity, implementation techniques and case studies.

Embedding low-cost intelligence with xcore.ai by Mark Lippett, CEO, XMOS | Find the slides here.

Adapting AI to available resource in mobile/embedded devices by Professor Geoff Merrett, University of Southampton | Find the slides here.

ClickCV, Providing high-performance computer vision hardware for software developers by Andrew Swirski, Founder & CEO, Beetlebox | Find the slides here.

Imagimob AI – Edge AI Software-tools-as-a-service by Alexander Samuelsson, Founder, Imagimob | Find the slides here.

Implementing AI: Vision Systems

Find the slides here.

The Implementing AI: Vision Systems, hosted by KTN and eFutures, was the third event of the Implementing AI webinar series. The focus of this webinar will be the opportunities and challenges of improving the capabilities of imaging systems.

The webinar had four presentations from experts covering overviews of the opportunity, implementation techniques and case studies.

2020 vision – the journey from research lab to real-world product by Jag Minhas, CEO and Founder, Sensing Feeling | Find the slides here.

Fast, Scalable Quantized Neural Network Inference on FPGAs with FINN and LogicNets by Yaman Umuroƒülu, Research Scientist, Xilinx | Find the slides here.

Towards Reliable AI-Powered Vision for Autonomous Systems by Prof Tughrul Arslan, Professor of Integrated Electronic Systems, University of Edinburgh | Find the slides here.

Scalable AI Solution cross AI platforms by Aling Wu, AAEON & Sebastian Borchers, Wahtari | Find the slides here.

Implementing AI: High Performance Architectures

Find the slides here.

This was the final event in the Implementing AI series of webinars being run by the Knowledge Transfer Network and eFutures. This event looked at high performance hardware applicable to HPC and server platforms.

Large scale HPC hardware in the age of AI by Prof Simon McIntosh-Smith, Bristol University | Find the slides here.

Solving Core Recommendation Model Challenges in Data Centers by Giles Peckham, Myrtle.ai | Find the slides here.

Arm SVE and Supercomputer Fugaku for Deep learning by Roxana Rusitoru, ARM | Find the slides here.

A Universal Accelerated Computing Platform by Timothy Lanfear, NVIDIA | Find the slides here.

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