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AI Innovation Competition

The innovation competition “Artificial Intelligence as a Driver of Economically Relevant Ecosystems” (AI-Innovation Competition) of the German Federal Ministry for Economic Affairs and Energy (BMWi) is a specific first step towards implementing the government´s Artificial Intelligence strategy. Through this competition, BMWi is promoting outstanding approaches to new forms of AI-based platforms for important sectors of the German economy. The aim is to realize strong model projects with the clout to provide an impulse to entire sectors of the economy.

DFKI involved in several winning projects of the AI Innovation Competition

A total of 16 large collaborative projects emerged as winners from the competition phase and were awarded prizes on September 19, 2019 in Berlin. The following projects with DFKI participation are funded by the BMWi and will start in the implementation phase from January 2020:


Production and Process Engineering

SPAICER – AI-based resilience management

In the SPAICER project, scientists collaborate with manufacturing companies to investigate how AI methods can be applied in a resilience management technology for the industry to better prepare for and respond to disruptions. 

Preliminary Consortium: Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, RWTH Aachen, WHU Otto Beisheim School of Management, Universität Freiburg, Technische Universität Darmstadt, senseering GmbH, DeZem GmbH, SEITECELEKTRONIK GMBH, SAP Deutschland SE & Co. KG, Schaeffler AG, Feintool System Parts Jena GmbH, Schott AG. C.D. Wälzholz GmbH & Co. KG

Consortium Leadership: Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
DFKI Research Departments: Smart Service Egineering
DFKI Contact: Prof. Dr.-Ing. Wolfgang Maaß
Funding Code: 01MK19033
Project Sponsor: BMWi / DLR
Term:  01.01.2020 – 31.12.2022

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FabOS: Open, distributed, real-time, and secure production operating system

FabOS wants to create a specialized, open, and secure operating system for the versatile, highly flexible factory of the future. The integration of AI-based services for autonomous production will form an important basis for this.

Consortium: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., Karlsruher Institut für Technologie (KIT), Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Universität Stuttgart, TRUMPFWerkzeugmaschinen GmbH + Co. KG, Nokia Solutions and Networks GmbH & Co. KG, AI4BD Deutschland GmbH, Siemens AG, Robert BOSCH GmbH, Advaneo GmbH, Kenbun IT AG, fLUMINA GmbH, inno-focus, USU Software AG, SOTEC, Delta Management Beratung GmbH, COSMO CONSULT DATA SCIENCE, Carl Zeiss 3D Automation GmbH, SYSGO AG, BÄR Automation GmbH, eclipse foundation, NXP Semiconductors Germany GmbH, COMPAILE Solutions GmbH

Consortial Leadership: Fraunhofer IPA
DFKI Research Departments: Intelligent Networks
DFKI Contact:  Matthias Strufe
Term:  from 01.01.2020



Knowledge4Retail – Artificial Intelligence for the Retail Trade

Retail should become more intelligent. To this end, the project aims to create new opportunities for a better connection between online and stationary retailing. The concrete offer available in the shop is to be made accessible via Digital Twins on the Internet. Intelligent service robots will be used to automatically record the available goods.

Preliminary Consortium: Allgeier SE, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, dm-drogerie markt GmbH + Co. KG, dmTECH, EHI Retail Institute, fortiss, Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., Kaptura GmbH & Co. KG, team neusta GmbH, neusta software development, neusta software development west GmbH, Ubimax, Universität Bremen, Technische Universität München

Consortium Leadership: team neusta GmbH
DFKI Research Departments: Robotics Innovation Center, Innovative Retail Lab
Contact DFKI: Niels Will

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Speaker: Development of a leading language assistance platform "Made in Germany"

Language assistants are increasingly important for human-machine interaction. The Speaker project aims at creating a language assistance platform "Made in Germany" for specialized applications in industry and B2B for which there are no convincing solutions yet.

Preliminary Consortium: DATEV eG, Deutsche Bahn AG, IAV GmbH, SAP SE, Siemens AG, FhG IAISund IIS, Grundig, AudEERING GmbH, Comma Soft AG, davero dialog GmbH, Grundig Business Systems GmbH, Innovo Cloud GmbH, Mojin Robotics GmbH, Omnibot GmbH, Onsei GmbH, Retresco GmbH, Scopevisio AG, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Ludwig-Maximilians-Universität München, Technische Universität Braunschweig, Universität Paderborn, International Data Spaces Association

Consortium Leadership: Fraunhofer IIS
DFKI Research Departments:  Speech and Language Technology
DFKI Contact:  Dr. Georg Rehm
Term: from 01.04.2020 (Implementation phase)

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Smart Living

ForeSight: Platform for context-sensitive, intelligent and predictive Smart Living services

ForeSight wants to establish an AI-based platform for the development of innovative Smart Living services in the home environment, especially based on AI-based technologies. The aim is to create a new, connecting ecosystem for manufacturers, vendors, and users from different industries that will also help overcome today's interoperability problems when using components from different vendors.


Preliminary Consortium: Aareon Deutschland, Robert BOSCH GmbH, IoT connctd, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Dormakaba, easierLife GmbH, Fachhochschule Dortmund, Friedrich- Alexander-Universität Erlangen-Nürnberg, GdW, Goethe Universität Frankfurt, GSW Gesellschaft für Siedlungs-und Wohnungsbau Baden Württemberg GmbH, Insta, ixto, Keo, Power Plus Communications AG, Strategion GmbH, ZVEI

Consortium Leadership: ZVEI (Zentralverband Elektrotechnik- und Elektronikindustrie e.V.) 
DFKI Research Departments: Agents und Simulated Reality, Cognitive Assistants, Smart Enterprise Engineering
Contact DFKI:  Dr. Hilko Hoffmann
Term: from 01.01.2020 (implementation phase)

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KI-Sigs: AI-Space for Intelligent Healthcare Systems

KI-Sigs wants to establish an intelligent healthcare system in which large amounts of medical and clinical, but also behavioral and social health and care data are combined. The aim is to gain a holistic view of patient outcomes and enable AI-based multimodal diagnostics.


Preliminary Consortium: UniTransferKlinik GmbH, Universitätsklinikum Schleswig-Holstein, Universitätsklinikum Hamburg-Eppendorf, Gesundheit Nord, CellmatiQ GmbH, Dräger Energie GmbH Lübeck, IMAGE Information Systems Europe GmbH, Pattern Recognition Company GmbH, mbits, Philips GmbH, apoQlar GmbH, Söring GmbH, Advanced Bionics GmbH, Stryker Leibinger GmbH & Co. KG, szenaris GmbH, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., Universität Bremen, Universität Hamburg, Christian- Albrechts-Universität Kiel, Universität zu Lübeck

Consortium Leadership: UniTransferKlinik GmbH
DFKI Research Departments: Cyber-Physical Systems, Intelligent Analytics for Massive Data
Contact DFKI: Prof. Dr. Christoph Lüth
Term: from 01.01.2020 (implementation phase) 

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