AI Technologies for Trust, Interoperability and Autonomy in Industry 4.0
How Artificial Intelligence technologies can tackle the challenging issues of the industry of the future with respect to interoperability, data processing, and autonomy, thus contributing to a trustful and responsible intelligent infrastructure.
The current process of digitization undertaken in all parts of society, business and technology is transforming industry in all its facets and processes. Data, smart services, Internet of Things, Robotics, Artificial Intelligence are changing the way humans and companies work together. There is a strong reshaping of Industry going on. In this strongly dynamic context, the current data revolution and increasing automation of cognitive tasks are raising challenging issues related to:
- interoperability of data, things and services in the increasingly open and geographically distributed industrial ecosystems
- efficient processing of the big amount of data generated by distributed production and business processes supported by IoT
- consistent and coordinated autonomous decisions and activities undertaken by fine-grained (machines, robots, humans) to
coarse-grained (workshops, enterprises) entities in decentralized and open ecosystems
In order to build a trustful intelligent open infrastructure to support this industry of the future, it is important to enhance the set of methods and to increase research in the domain of Artificial Intelligence on the one hand, and to foster education, development and cross-fertilization efforts with the actors of Industry 4.0 on the other hand. Artificial Intelligence technologies pertaining to Knowledge Representation and Reasoning, Autonomous Agents and Decentralized Artificial Intelligence, Responsible Artificial Intelligence are interesting candidates to tackle the challenging issues of Industry 4.0.
In that direction, it is of first importance to share experiences and expertise between academia and industrial partners from France, Germany as well as other European countries with regard to Industry of the Future and AI.
Participants will benefit from a motivating environment where:
- This event is closely aligned with the cutting-edge R&D activities.
- Excellent young talents draft innovative proof-of-concept solutions to actual problems.
- A reality check by expert reviewers confirms the further viability of the initial solutions.
- The events provide their participants with a network of business/project partners for subsequent experimentation and
- An unique opportunity to share experiences and expertise between academia and industrial partners from France, Germany
as well as other European countries with regard to Industry of the Future and AI.
We would first like to express our empathy and condolences with those affected by COVID-19 so far, and those who will have a difficult 2020.
The Summer School Organization Committee is monitoring the situation surrounding COVID-19 and considering what impact this may have on our event. Our plan to manage potential travel restrictions is as follows:
- The summer school will take place in late July in France, when a strong improvement in the situation related to Covid-19 is foreseen.
- However, in case some countries still have restrictions on travelling, we will propose an innovative on-line/off-line participation allowing participants to remotely attend the keynotes and courses, and to realise the practical exercises by accessing services that are deployed in factories running in three sites (Nuremberg, Saint-Étienne, St Gallen). Students will participate to the deployment of distributed and decentralized connected Industry 4.0
This Summer School aims at investigating how Artificial Intelligence technologies can tackle the challenging issues of the industry of the future with respect to interoperability, data processing and autonomy, thus contributing to a trustful and responsible intelligent infrastructure. The key objective is to prototype and review solution approaches to actual problems.
The goal is to gather young talents and train them on common theoretical and practical basis by experts from industry and academia, inspired by the visions and the experience of keynote speakers. Participants will also work towards executable proof-of-concept solutions addressing requirements stemming from the industry and building on cutting-edge Artificial Intelligence, Autonomous Agents, Linked Data and Big Data Technology. The main topics of the Summer school will be on the Web of Things, Knowledge Graphs, Decentralised AI, and Responsible AI.
All lectures consist in theoretical and practical sessions covering hands-on exercises on various kinds so that you will be able to participate to the coding challenges and be ready to continue coding and integrating semantic web technologies, multi-agent systems, web of things.
Participants will work in teams on a week-long coding challenge integrating technologies encompassing all topics presented at the summer school. The challenge will make use of sensors and actuators deployed in a replica of an industrial facility. Instructions to the participants will be given before the event to prepare for the challenge.
Each day is dedicated to one of the 4 topics of the summer school and consists of a keynote speech, lectures and practical work, then application of theory to the coding challenge. At the end, each team will present the outcome of their work. Social events are planned to encourage networking and team building. The detailed programme will be revealed as we get confirmation of the speakers’ availability.
This is the list of confirmed speakers:
- Andrei Ciortea, Post doc at University St. Gallen working on the Web of Things and Multi-agent technologies
- Andreas Harth, Professor at University Nürnberg-Erlangen; Web of Things, KG
- Jomi Fred Hübner, Associate professor at Federal University of Santa Catarina, Brazil; Multi-agent programming, autonomous systems
- Tobias Käfer, Post doc at Karlsruhe Institute of Technology; Linked Data and distributed Knowledge Graphs
- Matthias Kovatsch, Principal Researcher at Huawei’s German Research Center, Munich
- Simon Mayer, Professor at University St. Gallen in Switzerland
- Marc-Oliver Pahl, Research Director at Institut Mines Télécom, Rennes; IoT, Security
- Dave Raggett, Former W3C Team Contact for the Web of Things and Activity Lead for the Web of Data
- Volker Tresp, Professor at Ludwig Maximilian University of Munich and Distinguished Research Scientist at Siemens; Industrial Knowledge Graphs
- Birgit Vogel-Heuser, Professor Dr-Ing. at Technische Universität München
The Fraunhofer Institute for Integrated Circuits IIS is one of the world’s leading application-oriented research institutes and has outstanding competencies in microelectronics and information technology.
The Friedrich-Alexander University Erlangen-Nuremberg (FAU) is one of the most innovative universities in Europe, employs over 600 professors and conducts top-level research with worldwide visibility.
The École des Mines de Saint-Étienne (EMSE) is a French graduate engineering school and delivers academic programmes as well as research relevant to the requirements of today’s and tomorrow’s businesses.
The Université de Saint-Etienne is a French public research university based in Saint-Étienne and has consistently ranked as one of the top universities in France.
Local Course Providers
Fraunhofer-Institut für Integrierte Schaltungen IIS &
Espace Fauriel; 29, rue Ponchardier, F-42023 Saint-Étienne
+49 9131 85-0
- Deadline for submitting: 15th May 2020 (23:59)
- Notification: 20th May 2020
- Deadline for the registration: 15th June 2020 (23:59)
The registration fees are 300 €, for those participating on site. The fees include coffee breaks, lunches, special event dinner and accommodation at the student residence of Mines Saint-Étienne. Reduced fees for remote participants will be 150 €. Thanks to our sponsorships, some fees may be waived. If you need a fee waiver, please send us a motivation letter, and we will consider your request in the limit of our budget.
July 27th – 31st 2020