This December, software developers, data scientists, researchers and industry experts will meet at the Computer History Museum in Mountain View, California for the first Arm AIoT Dev Summit. The Summit will take place between the 2nd and 3rd December and will provide developers with a platform to learn about the latest developments and best practices in AIoT, exchange knowledge, discuss real-world use cases and solutions and get hands-on with deep-dive training and workshops.
The event theme is “changing the landscape of AIoT together” and the variety of workshops, tech talks, focus groups, keynotes and Birds-of-a-Feather (BoF) sessions will allow developers to join the journey of building the AIoT solutions of tomorrow. The event will be delivered by Arm and its ecosystem partners including Arduino, AWS, Avnet, Docker, Google, Microsoft, SparkFun, UDOO and more.
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What is AIoT? AIoT or Artificial Intelligence of Things is a combination of AI and IoT in order to achieve more efficient and smarter connected technologies. The term ‘AIoT’ is more than just a buzzword. The convergence of these two technologies is helping take artificial intelligence into all commercial and social sectors, enhancing business operations and making our world more efficient.
AIoT or Artificial Intelligence of Things is a combination of AI and IoT in order to achieve more efficient and smarter connected technologies. The term ‘AIoT’ is more than just a buzzword. The convergence of these two technologies is helping take artificial intelligence into all commercial and social sectors, enhancing business operations and making our world more efficient.
The Arm AIoT Dev Summit is less than a month away and we have recently published the full schedule on our website. Read on to discover what to expect from the event and the sessions you don’t want to miss.
This workshop will introduce you to the process of deploying machine learning models to microcontrollers on an Arm Cortex-M4 based Arduino Nano 33 BLE Sense board. During this workshop, you will explore how to develop and train an ML model in the cloud using TensorFlow and how the ML model can be converted so that it can be run on the Arduino with real-time performance.
With the partnership between Arm and Docker, it is now possible to easily build and deploy containerized applications everywhere from the edge to the cloud. This session will show you how containers can make IoT development easier.
This workshop will demonstrate how to build an embedded application using Docker natively on Arm, and then how to deploy the application on an edge device.
Join this presentation with Ian Perez Ponce, Global Business Development IoT at AWS to hear about real-world use case trends that intersect industrial IoT applications and the cloud. The presentation will explore how customers are using distributed computing with machine learning and analytics at the edge to accelerate innovation and time-to-value.
This is an experiential workshop, run by Pete Warden himself, that focuses on the use of TensorFlow Lite on a low-power microcontroller to perform machine learning. The workshop will cover machine learning model training, deployment, and operation, with a majority of time spent on a gesture-recognition activity, “Magic Wand,” that is based on the content of Pete Warden’s forthcoming book, TinyML: Machine Learning with TensorFlow on Arduino and Ultra-Low-Power Microcontrollers. This workshop will be based on the SparkFun Edge development board.
The AIoT Dev Summit will be packed with opportunities to win prizes, without counting the many hands-on workshops that will give you an opportunity to take home the hardware you have worked on!
Join this talk with Software Engineer at Google, Rahul Ravikumar to explore Donkeycar, an open-source, high-level self-driving library written in Python. The talk will look at different algorithmic approaches to self-driving, including techniques from computer vision, and deep learning. This talk will also help you get started on your own journey of building a self-driving RC car, and competing in races.
Throughout the two days, there will be a number of workshops from Arm’s developer evangelists that will walk you through how to build an end-to-end intelligent application starting from the cloud to the gateway and ending on the endpoint device.
Whilst going from the technical sessions and workshops, we encourage you to stop-by the Arm Innovator Lounge where you will hear from Arm Innovators and get hands-on experience with the technologies shaping the future of AI, IoT and robotics.
Innovators at the lounge include Jinger Zeng, technologist and innovator at Auterion who will showcase the different components of a standard quadcopter and answers any questions you have when it comes to drone development. Kwabena Agyeman will also be at the lounge showcasing the OpenMV Cam H7 Pro and how you can easily run large mobilenet like models using the OpenMV Cam without having to worry about memory constraints.
Are you interested in learning and experiencing how to build inference at the edge? Using Adafruit Pybadges, you will learn how to build inference at the edge. The badge is set to recognize the words “yes” and “no” but are easy to retrain using any of the micro speech vocabularies. This workshop will take place throughout the two days at the Arm Innovator Lounge.
Do you want to meet other like-minded developers, share your experience and learn tips and tricks from them? Join these sessions during the Dev Summit to share your developer experience with Arm and other developers and learn from each other and from leading experts. Take this chance to participate in the discussion on how to best overcome the difficulties you may be facing and how to develop better products and services.
To explore the full agenda and to take advantage of 50% off tickets until 10th November, visit our website by clicking on the link below.
View the agenda and register today