Machine Learning at Arm TechCon 2018

Arm TechCon | October 16-18, 2018 | San Jose Convention Center | USA

If you haven’t got your ticket for Arm TechCon yet, you need to be quick before you miss out! If artificial intelligence (AI) and machine learning (ML) are your areas of interest, you’ll find plenty to hold your attention, with over 20 dedicated sessions ranging from keynotes and panel discussions to hands-on workshops and tech talks. 

Many of the sessions are free to attend – just register for the free Expo Floor Pass. (And a promo code at the end of this post will give you $300 off an All-Access Pass!) See Arm’s General Manager for Machine Learning, Jem Davies, deliver a keynote session on making AI accessible and personal, and bring your laptop to take part in  our practical workshops exploring ML on Arm Cortex-M or Arm Cortex-A CPUs. Attendees will receive an OpenMV Cam M7 microcontroller board and a free 90-day Keil MDK Professional development suite (Cortex-M) or a HiKey 960 development board and free 60-day Streamline Performance Analyzer with Arm DS-5 Ultimate Edition (Cortex-A). Places are limited, so be sure to arrive on time!

Here’s more about what’s in store…

Keynote session: The Future of AI: Making AI Accessible and Personal

Jem Davies, VP, Fellow and General Manager of Machine Learning
Wednesday 17 October, 11.05am

References to AI and Machine Learning revolutionizing the world can be found everywhere but, for many, AI may seem like a distant concept isolated to nameless cloud farms, beyond our day-to-day lives or our ability to influence it. However, we are already interacting with AI today – and forming our opinions of it – in a myriad of ways. As the technology continues to mature it is exploding into use in the devices around us and it’s this which will truly realize the potential of AI and transform our worlds. Learn how the device revolution around AI is going to change everything and what Arm is doing to enable this, in a way that keeps the individual at the center.

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Workshop: Machine Learning on Arm Cortex-M Microcontrollers

Wednesday 17 October, 1.30pm

Bring your own laptop to participate in this hands-on workshop and learn how to run image classification on Cortex-M microcontrollers using CMSIS-NN, a library of optimized software kernels designed specifically for running neural networks (NNs) on Cortex-M cores. Deep learning algorithms are gaining popularity in IoT-edge devices due to their human-level accuracy in many tasks, including image classification and speech recognition. This creates increasing interest in deploying NNs on low-power processors found in always-on systems, such as those based on Arm Cortex-M microcontrollers. The first 50 attendees will receive an OpenMV Cam M7 microcontroller board and free 90-day Keil MDK Professional development suite.

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Workshop: Accelerating & Optimizing Machine Learning on Arm Cortex-A

Wednesday 17 October, 3.30pm

There has been an explosion of interest around deploying deep learning enabled applications on embedded platforms, in everything from digital assistants to home entertainment systems. Arm NN bridges the gap between existing machine learning frameworks and the underlying hardware. It enables translation of existing frameworks, such as TensorFlow and Caffe, allowing them to run efficiently, without modification, across a variety of Arm Cortex CPUs and Arm Mali GPUs. In this workshop we will show developers how to get up and running with Arm NN on Linux and how to analyze application performance with Arm’s profiling tool, Streamline.

Bring your own laptop to participate in our hands-on workshop. First 40 attendees will receive a HiKey 960 development board and free 60-day Streamline Performance Analyzer with Arm DS-5 Ultimate Edition.

Find out more>>

Conference session: How Do I Select IP to Use for My Machine Learning System?

Tuesday, 16 October, 4.30pm

ML processing requirements vary significantly according to the network and workload; there is no ‘one-size-fits-all’ solution. Examining use cases, workloads and performance data from real networks, this talk will give examples to help you choose the right Project Trillium IP from Arm for your application.  

This session requires an All-Access Pass.

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Conference session: Speed up your AI Designs with Dedicated Arm Machine Learning Hardware

Wednesday, 17 October, 3.30pm

Discover the features and benefits of Arm’s Project Trillium's hardware processors: Machine Learning (ML) and Object Detection (OD) processors, and applicability for different markets. This talk will describe Arm’s plans for the highly scalable ML architecture and will include a comparison with other Arm solutions, enabling you to choose the best software and hardware combination to address your specific needs.

This session requires an All-Access Pass.

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Sponsored session: How to Build Optimized ML Applications with Arm Software

Discover how developers are using the Compute Library, CMSIS-NN and Arm NN to develop highly optimized AI applications targeting CPUs, GPUs and new processor architectures for ML.

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Panel Session: How We Get There From Here: A Roadmap to Scaling IoT to A Trillion Devices

Ian Bratt, Director of Machine Learning | Rob Aitken, Director of Technology|Greg Yeric, Research Fellow

Wednesday 17 October, 5.30pm

This compelling panel session will see Ian Bratt, Greg Yeric and Rob Aitken describe how they see the IoT scaling to a 1 trillion connected devices in under 20 years and the crucial role that AI/ML will play. From novel business models, fresh perspectives on design, cutting-edge innovations in hardware and software, and ecosystem development, they’ll discuss how this vision can become a reality.

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Demo: Face Recognition @ the Edge

Featuring Arm Cortex processors, the Compute Library and DeepViewTM ML Toolkit and Inference Engine.

Demo: Machine Learning on MCUs   

Featuring Project Trillium, Cortex-M processor and Arm CMSIS-NN

Have you got your ticket yet? There’s still time to register! Just hit the green button below. Enter promo code 18ARMML to get $300 off an All Access Pass.

Register for Arm TechCon 2018

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