April

July

2022

Presenting

Edge ML Series

Frankfurt, Amsterdam, Milan, Paris, London, Munich

In-person exclusive events to explore how to harness real-world data and deploy advanced edge machine learning (ML) solutions at scale.

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Scale edge ML operations

Exclusive invite-only event series for industry leaders like you. Join us in-person to uncover product and ML innovation with our guests and speakers.

Keynotes

Talks by industry leaders and experts unlocking new innovations and breakthroughs

Edge ML experts

Have a chance to learn best practices for deploying edge ML solutions at scale

Networking

Connect with like-minded industry leaders, experts and pioneers during the evening reception

Why attend?

Get to market
faster

Learn to harness new tools and infrastructure to accelerate your data science operations while improving your ML lifecycle.

Differentiate your products

Explore the benefits of shifting workloads from the cloud to the edge, turning data from any device into actionable insights.

Expand your data science operations

Find new ways to optimize your ML and data science capabilities and scale your edge ML infrastructure and deployments.

Quick overview of Key speakers

Clark Howell

Video Producer

All Speakers

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Event locations

Frankfurt

April 27 - Afternoon

April 28 - Morning

Amsterdam

May 3 - Full day

Milan

May 5 - Full day

Paris

May 24 - Full day

London

May 26 - Full day

Munich

July 5 - Afternoon

July 6 - Morning

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The 2022
‍Agenda includes

Introduction to Edge Impulse

What and who is behind the idea of data driven engineering and democratizing Machine Learning.

13:00

13:30

ML 10 years ago and ML today

What is happening in ML in a wider context but also in the embedded space, is this just old wine in new wineskins or is there real innovation?

13:30

14:00

Watts to mWatts

Hardware accelerated ML on Alif Semiconductors Ensemble devices takes edge processing from Watts to mW

14:00

14:25

Syntiant and Edge Impulse Cooperation

A look into how Syntiant is providing the total solution for edge AI applications across markets from earbuds to automobiles. Learn about Syntiant’s unique offering of Neural Decision Processors (NDP), data and training pipeline.

14:25

14:50

MCSA - an old technique in a new dress

MCSA is a technique from the late eighties. It was the first time where it was possible to combine indirect measurement and correlate cause and effect chains. Today possible on a Microcontroller.

14:50

15:35

Edge ML deployment

What does it take to deploy in a real-life use case? Where to start, how to go about it and how to make it a success.

15:50

16:20

Where does it make sense to do edge ML projects vs. where not?

101 on EDGE ML process - from Data understanding to Return on Investment. General considerations and ML limitations.

09:00

09:30

Welding quality assessment using sound

The Belgian Welding Institute has created a genuine and interesting data set for welding sound analysis based of a lab setup. This was transferred by us to an embedded EDGE environment for in-situ welding quality assessment.

09:30

10:15

Renesas a multiverse with MCU’s and MPU’s

From MCU to MPU and DRP-AI, which consists of AI-MAC (multiply-accumulate processor) and DRP (reconfigurable processor).

10:15

10:40

View All Agenda

What to expect?

Introduction to Edge Impulse

Edge Impulse

Who is Edge Impulse? Why is the Edge so relevant, a hype or real innovation?

09:00

09:30

ML 10 years ago and ML today

Edge Impulse

What is happening in ML in a wider context but also in the embedded space, is this just old wine in new wineskins or is there real innovation?

09:30

10:00

From Watts to mWatts

Alif Semiconductors

Hardware accelerated ML on Alif Semiconductors Ensemble devices takes edge processing from Watts to milliwatts.

10:15

10:40

MCSA - an old technique in a new dress

Edge Impulse

A deep dive around how Motor Current Signature Analysis (MCSA), a classical technique from the late eighties. Today possible on a microcontroller.

10:40

11:10

Edge ML in the wild

SC Robotics

What does it take to deploy ML in a real-world edge solution? Where to start, how to go about it and how to make it a success.

11:10

11:35

Technical ML project scoping

Edge Impulse

What are the main HW considerations when approaching an edge ML use case? We will cover some of the best strategies to deploy successful edge ML solutions.

11:35

12:05

Edge ML 101

Edge Impulse

Edge ML 101 - from data understanding to return on Investment. General considerations and ML limitations.

13:20

13:50

Nordic in the field

Nordic Semi

Examples of successful edge ML deployments. Opportunities, challenges and lessons learned.

13:50

14:20

Welding quality assessment using sound

The Belgian Welding Institute

The Belgian Welding Institute has created a genuine and interesting data set for welding sound analysis based on a lab setup. This was transferred by us to an embedded EDGE environment for in-situ welding quality assessment.

13:50

14:20

Syntiant in the wild

Syntiant

14:20

14:45

Renesas a multiverse with MCUs and MPUs

Renesas

From MCU to MPU and DRP-AI, which consists of AI-MAC (multiply-accumulate processor) and DRP (reconfigurable processors).

15:00

15:25

Making the impossible possibe

Edge Impulse

Overview of the state of the art of edge ML, with a focus on key word spotting, anomaly detection and object detection.

15:25

15:55

How is AI/ML shaping the industry today

Roundtable

How is AI/ML shaping the industry today - Discussion amongst participants.

15:55

16:25