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AI in the Real World: From Development to Deployment

Track Overview

The explosion of data combined with the latest innovations in software have brought AI to the forefront of technology. From using complex neural networks to fight global pandemics to helping a robot solve Rubik’s cubes, developers are pushing the boundaries of what’s possible. AI technologies are enabling endless opportunities for us to solve real-world challenges. Meet with AI thought leaders, technology experts and gain hands-on experience with our tools to develop the future of AI for all.

Track Highlights

Artificial intelligence and machine learning take center stage at Arm DevSummit. If you’re a data scientist, ML software developer or a hardware engineer, expect to find what you need to develop AI-powered solutions.

Keynote Presentation from Paul Williamson, Vice President and General Manager from Arm on the Imaginative, Immersive and Intelligent Tomorrow

Technical Sessions on Cloud, Machine Learning Frameworks, Algorithms and Neural Networks

Panel Discussion on Machine Learning at the Edge

Networking, Office Hours with AI Industry Experts, Resource Libraries and More

Hear from AI Thought Leaders

Tomorrow’s applications will be imaginative, immersive and intelligent. And they will be here sooner than you think. In fact, they are already here. Get a guided tour of the different ways to deploy and embed machine learning on mobile phones and battery-powered devices.

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Simon Segars

Simon has driven technical and business innovations to help transform the company into the leading architect of the most pervasive compute technology the world has ever seen.

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Simon Segars
Chief Executive Officer, Arm

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Paul Williamson

Paul leads the Client Line of Business within Arm. The client team defines the compute platform that shapes user experiences in smartphone, AR/VR, DTV, gaming and laptop/tablet markets.

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Paul Williamson
Vice President and General Manager, Client Line of Business, Arm

Hands-on Workshops

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Simplified Deep Learning Using OpenMV Cam, Arduino, and Edge Impulse

Workshop Plus – $79

In this workshop, Kwabena Agyeman will show attendees how to quickly train a TensorFlow Lite Convolutional Neural Network (CNN) for image classification using an OpenMV Cam and Edge Impulse. Then deploy the CNN on an OpenMV Cam and have it running immediately. Finally, attendees will connect the OpenMV Cam to an Arduino to easily control devices in the real-world. This technical workshop is brought to you by OpenMV, LLC.

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tinyML Development With TensorFlow Lite for Microcontrollers and CMSIS-NN

Workshop Plus – $79

Deep Neural Networks are becoming increasingly popular in endpoint devices. Developers can perform data analytics on devices with reduced latency and energy consumption. Join Google and Arm in this workshop where we will introduce how Google’s TensorFlow Lite for microcontrollers (TFLu) and its integration with CMSIS-NN maximize ML application performance. Learn how to run a person detection sample with TFLu and CMSIS-NN on an Arduino Nano device. This technical workshop is brought to you by Arm and Google.

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