Preliminary Agenda*

Tuesday, September 22, 2020

8:00 AM
8:45 AM
8:50 AM
Edge Security
Speaker: N. N. | Microsoft
9:30 AM
Integrating Connectivity, Computing, and Peripheral Functions at the IoT Edge more
This talk examines the challenges that embedded system developers face in implementing edge computing functions using existing compute/control components, and proposes a new platform approach to accelerate development and enhance edge computing systems‘ performance.
Speaker: Brian Bedrosian | Cypress
10:10 AM
Coffee break & Exhibition
10:40 AM
Performance analysis and bottlenecks of AI on the Edge more
Artificial intelligence has been succesfully deployed to numerous types of platforms. The performance and architecture of devices used in the field is often different from the platforms in the data centers. There are also vast differences in system requirements that drive the overall system design. What can we do to get necessary performance, but keep the accuracy and not deplete the battery in a matter of seconds? We will discuss a few, selected architectures with models and several techniques of optimizing algorithms, mostly focused on deep learning.

Speaker: Lukasz Grzymkowski | Arrow
11:20 AM
AI on the edge: interacting swiftly and surely in a dynamic world
Speaker: Dr. Nicolas Lehment | NXP
12:05 PM
Joint Keynote ASE & i-edge: Machine learning on-the-edge: Anything but state-of-the-art
Speaker: Prof. Dr. Oliver Niggemann | Universität der Bundeswehr Hamburg
12:45 PM
Lunch break & Exhibition
1:45 PM
Enable your Project with Artificial Intelligence – An Approach to support system design and architecting with AI-specific properties. more
A lot of companies struggle with the decision of how to engage artificial intelligence for their products. During the speech, I will introduce a systematic approach to check specific AI-properties and their current status within a project. The approach provides an overview of particular properties that need to be addressed during the design and development of AI applications and shows how to engage these
topics in case it was not under consideration yet. Furthermore, it assists in evaluating these solutions towards stakeholders requirements.
Speaker: Robin Roitsch | NVIDIA
2:25 PM
AI at the Edge – enabling time critical Video Analytics
Speaker: Marco Krause | Adlink
3:05 PM
Coffee break & Exhibition
3:35 PM
ML-based sensors change the Edge
Speaker: Klaus-Dieter Walter | SSV
4:15 PM
MIOTY – The new LPWAN standard for Sub-1 GHz communication more
Parameters such as long-range and low-power connected devices are important for communication. In order to be able to communicate over long distances, technology is optimized for long-range radio-frequency (RF) communication. The Massive Internet of Things (MIOTY) protocol enables the division of data packets into smaller subpackets: They spend less time in the air and therefore the risk of collisions and of data loss decreases.
Speaker: Elin Wollert | Texas Instruments
5:00 PM
End of the first Conference Day

Wednesday, September 23, 2020

8:00 AM
8:45 AM


8:50 AM

Track 1 in the morning
08:50 a.m.: Edge AI
Speaker: N. N. | Microsoft
09:30 a.m.: Running AI application on limited-resource hardware more
AI application requires a lot of computation power and memory footprint. That is why, it is not new that, to deploying AI at the edge, it is required to have high-end processors, FPGAs or GPUs. Until recently, low-end devices receive a boost up in the performance, which enables them the capability of running an AI application with limited features. This talk will give the audience an overview of the development states, software aspects, hardware aspects that enable them to run an AI application
Speaker: Quang Hai Nguyen | Arrow
10:10 a.m.: Coffee break & Exhibition
10:40 a.m.: How 5G/TSN/Edge will Shape the Future of Industrial Networking more
Industrial communication systems evolve towards standardized Time-Sensitive Networking (TSN). However, the flexibilization of manufacturing processes often require independency of wired connectivity. The Edge Computing paradigm and a TSN over 5G technology stack are interesting approaches to address this challenge.
Speaker: Dr.-Ing. Alexander Willner | Fraunhofer FOKUS
11:20 a.m.: Ethernet to the Edge in Industrial Systems more
Great insights and information resides within edge sensors and actuators on the factory floor or process control environment. Connectivity is the key to accessing and actioning these insights. This talk explores the potential connectivity solutions that will bring the intelligent edge to reality. This presentation discusses the transition from existing field bus technologies to the new 10BASE-T1L Ethernet technology (IEEE standard 802.3cg-2019 / 10BASE-T1L) within the process automation environment. It will outline the use of Ethernet over single twisted pair cabling of up to 1km in length while also adhering to the intrinsically safe, Zone 0 requirement of certain applications. This talk will also explore the opportunities presented by enterprise wide connectivity, while outlining the challenges on the horizon in connecting and leveraging edge intelligence. Connectivity will unleash the true power of edge intelligence and this presentation will explore how we make this a reality.
Speaker: Fiona Treacy | Analog Devices


8:50 AM

Track 2 in the morning
08:50 a.m.: Concepts for Solving the IoT Puzzle more
Throughout this paper, we will talk about the what and how that make IoT solutions complex; it’s not as simple as taking a puzzle you already have completed and adding a few additional pieces to expand the puzzle’s picture. The ability to capitalize on the already-established edge pieces, and then customize and integrate, will make the difference.
Speaker: Ralf Pühler | Kuda
09:30 a.m.: AutoML – A game changer for scaling ML in production more
It is presented how the application of ML in industry can be democratized: Domain experts are enabled to create ML solutions without expert knowledge in ML. This is possible by combining AutoML with the process and machine knowledge of domain experts.

Speaker: Tobias Gaukstern | Weidmüller
10:10 a.m.: Coffee break & Exhibition
10:40 a.m.: Digital Twins - Model and optimize the reality with Graphs more
Today’s IoT solutions are device centric, they are very limited to leverage context. In this session, I am going to show how digital twins of the reality can be built with the Open Sourced Digital Twin Definition Language, contextualized and fundamentally simplify IoT architectures and applications through a live execution environment.
Speaker: Oliver Niedung | Microsoft
11:20 a.m.: The Edge and smart motors: Decentralized automation concepts without PLC more
Classical automation concepts with the PLC as the center often have low scalability and high programming complexity. If one thinks here in terms of decentralized reusable modules that bring their necessary logic directly into the devices, exchange process data with each other via the EDGE and are managed via the cloud, one obtains a scalable cost and space-saving solution that no longer requires a central PLC.
Speaker: Markus Weishaar | Dunkermotoren
12:05 PM
Joint Keynote ASE & i-edge: How a Cloud/Edge paradigm is disrupting the Automation Industry and why Software is a key Success Driver. more
In the past decade, software-driven innovations, such as AI and machine learning, have revolutionized the information technology used in other areas of business and society. The result is an automation gap that creates barriers to unleashing the step-change productivity improvements that manufacturers aspire to achieve. Cloud/Edge computing as bridging technology enables true, enterprise ready, software
defined shopfloor solutions. In this talk we discuss Six Key Ingredients of Shop-Floor Automation, or, how can manufacturers and automation providers use edge computing and cloud paradigms to enhance productivity on the shop floor?
Speaker: Johannes Boyne | Boston Consulting Group
12:45 PM
Lunch break & Exhibition


1:45 PM

Track 1 in the afternoon
01:45 p.m.: Research project AIfES: Embedded AI, hierarchical models and grey-box approaches more
AIfES is a machine learning framework where the algorithms are optimized for resource-limited hardware such as microcontrollers. The integration of problem-based prior knowledge and hierarchical structures allows small and efficient implementations.
Speaker: Pierre Gembaczka | Fraunhofer IMS
02:25 p.m.: Designing an AI enabled camera device for the edge more
Todays camera enabled multimedia SoCs are getting more and more complicated and embedded solution architects and system developers have to deal with various challenges on the hardware side, and very extensive software frameworks all the way up from device drivers to networking stacks and full AI stacks on the other side. This speech will give a good overview how such a design might look like and tap in each of the needed building blocks, mainly from a software and system architectural point of view.
Speaker: Dieter Kiermaier | Arrow
03:05 p.m.: Coffee break & Exhibition
03:35 p.m.: SMART NEUR CHIP – Deep-Learning computing on the edge more
AVI has implemented a Deep-Learning hard- and software toolbox to realize deep-learning on the edge applications based on deep-learning accelerator software tools and a unique chip architecture to process data with high speed and very low power consumption.
Speaker: Johannes Traxler | AVI-Systems
04:15p.m.: 5G/AI/Edge Computing - Data management challenges, technologies and architectures
Speaker: N. N. | Raima


1:45 PM

Track 2 in the afternoon
01:45 p.m.: Condition monitoring solutions for plants considering suitable data transmission technologies more
The presentation covers the following aspects: consideration of different Internet access technologies and wireless technologies for condition monitoring solutions: When is WLAN, Lora, Sigfox, or mobile radio best suited; considered depending on the application; process monitoring and automation with sensor solutions; challenges posed by radio; application example: motor monitoring at Murrelektronik.

Speaker: Thomas Schildknecht | Schildknecht AG
02:25 p.m.: Reproducible data science with a narrative focus more
Based on a practical example viable for small companies I want to show a reproducible data science workflow from the design of a laboratory experiment to a machine-learning model on the edge device using freely available tools - such as jupyter notebooks with keras or the X-CUBE-AI library.
Speaker: Dr. rer. nat. Nikolai Hlubek | Bürkert Fluid Control Systems
03:05 p.m.: Coffee break & Exhibition
03:35 p.m.: Functional Safety with AI more
For to integrate AI as a critical part in solutions with respect to functional safety, different scopes are currently worked on. Because of its importance in development of systems with respect to functional safety, one scope is about the “development process and AI. This seems also to be the more simple part, because in this field there is a lot of experience on how to design “proper” processes to develop functional safe systems. More difficult it is to define techniques and measures to follow when AI is to be designed as a critical part with respect to functional safety. Fundamental research is needed to give the needed confidence in such solutions integrating AI in functional safe systems. The presentation about ongoing activities in the areas “process design” as well as “techniques and measures” should result in starting a discussion about if these activities will result in more confidence in solutions with AI as a critical part with respect to functional safety.
Speaker: Frank Poignée | infoteam SET
04:15 p.m.: Edge Computing meets Smart Services
Speaker: N. N.
Speaker: Olaf Wilmsmeier | peraMIC
Speaker: Dr. Robert Rae | PerFact Innovation
5:00 PM
End of the Conference
*Subject to changes

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