Description

Imagine a new world where you could add intelligence to all your embedded devices simply by collecting the right data to fully characterize your problem, that world is here.

Join this keynote to to celebrate with us all the amazing ecosystem achievements of this last year, and hear directly from Zach and Dan some of the biggest advancements characterizing the embedded ML space today.

Description

Join this keynote to hear from Steve Roddy, what to expect from the next generation of Arm-based hardware devices.

Description

Oura, is fully dedicated to improving the way people live their lives. They are achieving this by developing advanced technologies with the Oura ring to monitor your body’s pulse, movement, temperature etc and deliver a holistic picture of your health via the Oura app. ML-powered algorithms are resulting to be the key to their missions.

In this presentation, Xi will talk about how Oura leverages machine learning infrastructures and technologies to innovate in the health space by improving the accuracy and quality of the health information they provide to their users.

Description

Join this conversation to hear Ray's vision on the future of smart and connected edge devices.

Ray's Bio:

Ray Ozzie is a software entrepreneur with a particular passion for communications software and infrastructure.  Having created numerous products over the years including Microsoft Azure and Lotus Notes, his early career was shaped by his work on Lotus 1-2-3, Symphony, and VisiCalc.  He was CTO and chief software architect of Microsoft, is currently CEO of Blues Wireless, and also serves as a director of Hewlett Packard Enterprise, Balena, and Safecast - a global citizen science initiative founded in the wake of the Fukushima disaster.

Description

Machine learning has traditionally been seen as something that happens in data centers, requiring a lot of resources, so that only large organizations benefit from the technology. Running models locally on devices gives us a chance to share the benefits more widely, but also to reimagine how we design algorithms, hardware and software. In this talk, we discuss how the edge is fundamentally changing how we apply machine learning and explore some of the open challenges and opportunities to transform user experience at the edge.

Description

In this session Zach Shelby will introduce Luka, CEO and founder of Irnas, and together they will explore how by focusing on the value of data, Irnas has become one of the most innovative design houses.  The transition from a generalist IoT design house to a “Data-First” approach has brought a lot of successes.

Irnas today together with Edge Impulse, is able to help customers add value to their products by making devices smarter and able to make sense of the data around them.

Description

Join this keynote to learn about Zach's vision on the future smart IoT devices.

Description

Join this conversation with Pete Bernard to explore how 5G is accelerating embedded ML adoption at scale, while unlocking more revolutionary use cases across the industry.

Description

Technologists have a huge role to play in driving positive change in our planet’s ecosystems. Scientific developers need our partnership to solve problems to preserve our biodiversity and drive sustainability.

Join Sarah Maston, founder of Project 15 from Microsoft as she discusses how cutting edge technology in IoT and ML are making impact to accelerate innovative solutions for Earth.

Description

Join this industry panel to gain deeper insight into the impact embedded intelligence is having on today's enterprises. Panelists will share their views on the current landscape and the future of edge AI as well as unpack ways organizations can take it into production now.

Description

Join this session to hear some of the highlights of the opening day and explore the agenda for the second day of Imagine.

Description

Join this panel hosted by Sally Ward-Foxton from the EE Times, to hear from industry experts what the needs and challenges of modern enterprises are, and what we should all be doing to be ready for a smarter future.

Description

Join this workshops with TI to explore how embedded ML can enable enterprises to prepare for the future.

Description

Detecting objects is one of the most challenging problems in computer vision. In this session, we will show a complete example and discuss some of the strategies we have developed on the basis of Himax WE-I Plus platform.

The workshop starts off with model selection, followed by data preparation, training procedures and finally deployment with TFLite. Participants will learn how to deploy the tinyML object detection model  on their devices.

Description

The rise of intelligence on the edge is inexorable. Nvidia’s Jetson family of modules provides a GPU-accelerated AI platform for edge computing. With Edge Impulse and Nvidia application SDKs, developers are armed with the tools to create embedded ML applications for Jetson(s) frictionlessly.

Ready for production? Nvidia’s Triton inference server helps you deploy your AI solutions at scale and orchestrate multi-tenant ML model execution with optimized CPU/GPU configurations on the edges. From home robots to machine vision, from AgTech to nanosatellite, Jetson-powered AI use cases are penetrating all the industry verticals.

Description

Introducing new crop varieties or introducing new cultivation methods requires intensive trials to irrigate and monitor the performance of each plant. To add to the further challenges trials sites are often based in isolated location for security and privacy.

MARV-Bot is an agricultural trials robot designed to support remote operation at trials sites. As such MARV is capable of irrigation of the crops and the monitoring and classification of individual plants.This communication can be provided back to the control center using either 5G or SatCom networks depending on location. The remote operation requires a low power efficient ML applications to be able to identify each crop type and geotag each of the plants for cataloguing and growth monitoring.

This work shop will outline how Edge based ML can be deployed for agricultural robots. We will explore the challenges of agricultural robotics and how ML can help address these challenges in general, and more specifically why edge ML can help achieve a more efficient and longer lasting implementation (lower power, lower bandwidth needed per link etc)

Finally we will wrap up with the MARV Bot prototype recreation which as implemented on the Sony Spresense system.

Description

This hands-on workshop will show how to use the Edge Impulse Linux CLI to gather and annotate data and then train and deploy a hard hat detection model to the MaaXBoard Mini. This dev board is based on NXP’s 8M Mini, an excellent architecture for running object detection inference. We’ll also harness the GPIO on MaaXBoard’s raspberry pi compatible 40-pin header to set off an alarm if the model detects someone isn’t wearing their hard hat. Safety first!

Description

Join this workshop to learn how to develop machine learning applications on both short range nRF5340 and long-range nRF9160 Nordic radio devices. We’ll show you how easy it is to get started with ML development with out of the box applications from the nRF Connect SDK using data captured from various sensors. The workshop will be split into two 30-minute slots where the first part will focus on short range with support for Bluetooth LE and the second part on cellular (LTE-M/NB-IoT) ML offering.

Description

Syntiant designed an artificial intelligence neural decision processor from scratch. Our purpose-built neural decision processor (NDP) provides 10-100x throughput while consuming 10-100x less power for the same task, relative to MCUs. This can be achieved thanks to having the neural layer operations baked into the architecture itself. The user-friendly architecture does not even require a compiler which will be difficult to maintain and support.

Developers can focus on developing and managing machine learning models using the Edge Impulse front end, and simply download the model package and deploy it on the board. In collaboration with Edge Impulse, Syntiant is delivering two orders of magnitude improvement in throughput and power efficiency with an easy-to-use platform that enables developers to deploy strong machine learning algorithms anywhere.

Description

Discover how easy it is to integrate Edge Impulse solutions in your Microchip project

Description

Join Massimo Banzi, co-founder of Arduino, to hear the latest about Arduino and how it is enabling more developers to deploy ML applications on connected devices.

Description

This panel will highlight some of the efforts helping to drive innovation in embedded ML. The discussion will focus on the work of the developer community, emerging trends and applications, as well as the adoption of tinyML-compatible hardware and tools.

Description

This panel will dive into the current state of embedded machine learning, identifying disruptive developments, addressing obstacles and opportunities, and exploring what's next for data-driving engineering.

Description

Embedded machine learning becomes much easier and accessible to beginners when using Codecraft graphical programming and Wio Terminal.Simply drag-and-drop blocks, acquire data, train and deploy models, Codecraft will bring you a more vivid machine learning experience than ever.Whether you are only at the stage of transforming hardware into a smarter device, but don’t know how to start to execute, or you came up with the idea, but lack the developing skills with a practical way to implement and accelerate your next IoT projects, you will find this Graphical Programming platform to be one of the best learning and training resource for of your TinyML journey.Powered by Edge Impulse, TinyML community, and Graphical Programming platform, we are aiming at reducing the computational space and power required by machine learning models, Edge AI is fitting artificial intelligence applications into smaller, less powerful computers, even ultra-low-power microcontrollers, and less required developing skills.

Description

This workshop will teach attendees how to build their own AI-powered bird watcher from a Raspberry Pi and a camera!  As birds pass in front of the camera, an Edge Impulse AI model will try to determine what species it is, and send a picture of the bird (and it’s predicted type) to the user via a Telegram bot.  And by using balenaCloud to deploy the software onto the Pi, the process is easy and repeatable, allowing developers to continually update devices and add more units.  This is a great project for schools and citizen science, where added data can improve the model and the whole fleet of bird cams can get smarter.
Attendees will need a Raspberry Pi 3 or 4, a Pi Camera or USB Webcam, and an SD Card and Power Supply in order to participate in the hands-on build, or, you can simply follow along as we talk through the lab and can replicate it all later on your own.

Description

Join Alex during this session for a chance to learn about the latest embedded ML projects being built by the community.

Description

Join this workshop, for a chance to learn step-by-step what it takes to to build an artificial nose using off-the-shelf, affordable and open hardware. During the second half of the workshop, you will also learn how to add IoT capabilities to the device in order to support both disconnected and connected scenarios.

Description

MLOps is a set of tools and techniques. to train, deploy and manage in large teams and powerful servers. However, parallel to the development of these large models, there has been a growing field of TinyML which tries to reduce model sizes and complexities so that they can be deployed on small, low power and low memory microcontroller devices.

TinyML brings its own set of challenges to MLOps when it comes to building scalable pipelines to train, optimize, deploy and maintain these models. For instance these models need to be small and have low inference latency but at the same they need to be accurate. In this workshop we will talk about what Tiny MLOps is and the challenges that Tiny MLOps systems have. We will also give an overview of the Tools available for Tiny MLOps and demonstrate how to build a Tiny MLOps pipeline for deploying a classification model using Edge Impulse.

Description

Deploying an IoT solution on the edge comes with inherent risks. Is the firmware bulletproof? Is the enclosure secure? Is the power source reliable? Then you add ML to the mix and you have to hope your model is "good enough" to be objectively successful.

However, what if your remote deployment could continue to learn, feed new data back to Edge Impulse, and in turn continually improve the model? What if you could then programmatically update the model file remotely over cellular, without manual intervention?

Using the Notecard and Notehub.io from Blues Wireless, this is now a reality. Join us in this workshop as we demonstrate the basics of the Notecard on a Raspberry Pi 4 model B, along with an end-to-end solution of dynamic model updates in the field.

**To follow along the workshop you will need the Blues Wireless Raspberry Pi Starter Kit

Description

Data augmentation is an incredibly useful technique in machine learning that can multiply your dataset to train a more robust model. We will start with a limited, pre-existing dataset (images of electronic components) and use it to train an image classifier. We will examine flaws in the model by looking at saliency and class activate maps from validation and test images. From there, we will use Google Colab to perform various transforms on the original images to create a more robust dataset, and use it to train a new model. Finally, we will discuss how data augmentation can be applied to non-image data.

Sept 29 - oct 1

Imagine

The future of data-driven engineering starts now

The biggest embedded ML event of the year.
Learn about the latest innovations in embedded
machine learning for the real world.

Enjoyed Imagine 2021? Pre-register for Imagine 2022!

Pre-register now

Experience

expert talks

Hear from embedded ML industry leaders, visionaries and researchers and participate in live discussions.


Learn

from workshops

Gain firsthand experience from technical workshops to build the next generation of devices that can hear, feel and see.

Connect

with developers

Be at the center of the data-driven revolution and connect with like-minded developers and engineers.


Speakers

Pete Warden

Lead Engineer TFLM, Google

Luka Mustafa

Founder and CEO of IRNAS

Eric Kao

Director, Advantech WISE-Edge+

Massimo Banzi

Co-Founder, Arduino

Sarah Maston

Senior Solution Architect, Microsoft

Sandeep Bandil

VP IoT Edge Devices & Solutions, Brambles

Menno van der Winden

General Manager Advanced Analytics, Tata Steel Europe

Swaroop Kalasapur

Cloud & Edge Computing Tech Leadership, Schlumberger

Ray Ozzie

Founder and CEO, Blues Wireless

Sara Hooker

Research Scientist, Google Brain

Michael Stal

Principal Key Expert Engineer, Siemens

Mital Kanabar

Chief Applications Architect, Office of Innovation Leader, GE Grid Solutions

Yann LeFaou

Marketing Manager, Microchip

Thomas Garcia

Applications Engineer, Microchip

Juan Nogueira

Sr. Director, Connectivity Center of Excellence, Flex

Sally Ward-Foxton

European Correspondent, EE Times

Ryan Benitez

Principal, Decisive Point

Michael Dolbec

Managing Partner, Momenta

Steve Roddy

VP Products ML Group, Arm

Xi Zhang

Head of Health Sensing, Oura

Zach Shelby

Co-Founder and CEO, Edge Impulse

Dan Situnayake

Founding TinyML Engineer, Edge Impulse

Brandon Satrom

VP of Developer Experience, Blues Wireless

Rob Lauer

Developer Relations Lead, Blues Wireless

Soham Chatterjee

ML Engineer, Sleek

Alex Glow

All Things IoT and Tutorials, Hackster

Mithun Das

Ambassador, Edge Impulse

V Archana

ML Engineer, Continental

Huiying Lai

Application Engineer, Seeed

Marc Pous

Developer Advocate, balena.io

Evgeni Gousev

Senior Director, Qualcomm Research

Benjamin Cabé

Principal Program Manager, Azure IoT

Alasdair Allan

Technical Documentation Manager, Raspberry Pi

Lian Jye Su

Principal Analyst, ABI Research

Jen Fox

Sr. Program Manager, Microsoft

Vijay Janapa Reddi

Associate Professor, Harvard University

Eric Pan

Founder and CEO, Seeed Studio

Mike Senese

Executive Editor, Make Magazine

Wei Xiao

AI in Emerging Areas, NVIDIA

Atul K. Gupta

VP of Analog Design, Syntiant Corp

Uri Weinrib

Director of Product Management, Connectivity, Texas Instruments

CK Hsu

System Manager, Himax Technologies

Bjørn Spockeli

Senior Project Manager, Nordic

Martin Lesund

Technical Marketing Manager, Nordic

Monica Houston

ML Engineer, Avnet

Adam Taylor

Founder and Lead Consultant, Adiuvo Engineering and Training Ltd

Zach Supalla

Founder and CEO, Particle

Pete Bernard

Sr. Director, Silicon and Telecom, Azure Edge Devices, Microsoft

3 days of embedded ML

Register now
Sept 29

Innovation
Keynotes

Live interviews with industry leaders and pioneers on the future of embedded machine learning

9:15 AM - 9:40 AM (PT)

The Future of Endpoint AI

The Future of Endpoint AI

Steve Roddy, VP Products, ML Group - Arm

Watch now
9:40 AM - 10:05 AM (PT)

Health Innovations with ML at Oura

Health Innovations with ML at Oura

Xi Zhang, Head of Health Sensing - Oura

Watch now
10:45 AM - 11:20 AM (PT)

A Future that Works for Everybody

A Future that Works for Everybody

Sara Hooker, Research Scientist - Google Brain
Pete Warden, TensorFlow Lite Micro Lead - Google

Watch now
12:00 AM - 12:25 AM (PT)

The Future of IoT is Smart

The Future of IoT is Smart

Zach Supalla, Founder and CEO - Particle

Watch now
12:25 AM - 12:50 AM (PT)

Reinventing the edge with 5G and AI

Reinventing the edge with 5G and AI

Pete Bernard, Sr. Director, Silicon and Telecom, Azure Edge Devices - Microsoft

Watch now
2:45 PM - 3:30 PM (PT)

Panel: Impact of Embedded ML in Today's Enterprise

Panel: Impact of Embedded ML in Today's Enterprise

Sandeep Bandil - Brambles
Ryan Benitez - Decisive Point
Swaroop Kalasapur - Schlumberger
Moderator - Momenta

Watch now
Sept 30

Industry
Workshops

Discussions and hands-on virtual workshops with experts from leading technology companies

8:00 AM  - 8:15 AM (PT)

Opening Remarks

Opening Remarks

Alessandro Grande - Edge Impulse

Watch now
8:15 AM  - 9:00 AM (PT)

Getting Ready for a Smarter Industrial Future

Getting Ready for a Smarter Industrial Future

Mital Kanabar - GE Grid Solutions
Michael Stal - Siemens
Juan Nogueira - Flextronics
Menno van der Winden - Tata Steel Europe
Moderator: Sally Ward-Foxton - EE Times

Watch now
10:00 AM - 11:00 AM (PT)

Hello MARV! Using ML in Agricultural Robotics

Hello MARV! Using ML in Agricultural Robotics

Adam Taylor - Adiuvo Engineering & Training Ltd

Watch now
11:00 AM - 12:00 PM (PT)

Get Connected with Machine Learning

Get Connected with Machine Learning

Bjørn Spockeli - Nordic
Martin Lesund - Nordic

Watch now
OCt 01

Community
Showcase

Talks, panels, project deep dives and hands-on virtual labs from community innovators and pioneers

8:30 AM  - 9:00 AM (PT)

Inspiring the Next Generation of ML Developers

Inspiring the Next Generation of ML Developers

Mike Senese - Make Magazine
Eric Pan - Seeed Studio
Vijay Janapa Reddi - Harvard University
Moderator: Jen Fox - Microsoft

Watch now
9:00 AM  - 9:30 AM (PT)

Exploring the Massive Potential of TinyML

Exploring the Massive Potential of TinyML

Wei Xiao - NVIDIA
Alasdair Allan - Raspberry Pi
Lian Jye Su - ABI Research
Moderator: Evgeni Gousev - Qualcomm

Watch now
10:30 AM - 11:00 AM (PT)

Project Showcase

Project Showcase

Alex Glow - Hackster

Watch now

3 days of embedded ML

Keynotes

Talks and interviews with industry leaders and pioneers

8:30 AM - 9:15 AM (PT)

Building the Ultimate Experience with Data-Driven ML

Building the Ultimate Experience with Data-Driven ML

Zach Shelby, Co-Founder and CEO - Edge Impulse
Dan Situnayake, Founding Engineer - Edge Impulse

9:15 AM - 9:40 AM (PT)
9:40 AM - 10:05 AM (PT)
10:45 AM - 11:20 AM (PT)

A Future that Works for Everybody

A Future that Works for Everybody

Sara Hooker, Research Scientist - Google Brain
‍Pete Warden, TensorFlow Lite Micro Lead - Google

12:00 PM - 12:25 PM (PT)
12:25 PM - 12:50 PM (PT)

Reinventing the Edge with 5G and AI

Reinventing the Edge with 5G and AI

Pete Bernard, Sr. Director, Silicon and Telecom, Azure Edge Devices - Microsoft

2:45 PM - 3:30 PM (PT)

Panel: Impact of Embedded ML in Today's Enterprise

Panel: Impact of Embedded ML in Today's Enterprise

Moderator: Michael Dolbec - Momenta
Sandeep Bandil - Brambles
Ryan Benitez - Decisive Point
Swaroop Kalasapur - Schlumberger

Workshops

Discussions and hands-on virtual workshops with experts from leading technology companies

8:00 AM  - 8:15 AM (PT)
8:15 AM  - 9:00 AM (PT)

Getting Ready for a Smarter Industrial Future

Getting Ready for a Smarter Industrial Future

Moderator: Sally Ward-Foxton - EE Times
Mital Kanabar - GE Grid Solutions
Michael Stal - Siemens
Juan Nogueira - Flex
Menno van der Winden - Tata Steel Europe

10:00 AM - 11:00 AM (PT)
11:00 AM - 12:00 PM (PT)

Community

Talks, panels, project deep dives and hands-on virtual workshops from community innovators and pioneers

8:30 AM - 9:00 AM (PT)

Inspiring the Next Generation of ML Developers

Inspiring the Next Generation of ML Developers

Moderator: Jen Fox - Microsoft
Mike Senese - Make Magazine
Eric Pan - Seeed Studio
Vijay Janapa Reddi - Harvard University

9:00 AM - 9:30 AM (PT)

Exploring the Massive Potential of TinyML

Exploring the Massive Potential of TinyML

Moderator: Evgeni Gousev - Qualcomm
Wei Xiao - NVIDIA
Alasdair Allan - Raspberry Pi
Lian Jye Su - ABI Research

10:30 AM - 11:00 AM (PT)

Edge Impulse Imagine 2021 has ENDED

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