Microelectronics for AI - Data-oriented realization in industrial use


Just as artificial intelligence (AI) is helping more and more companies with data analyses, error detection and process automation, a new generation of intelligent systems is already emerging: Edge Artificial Intelligence, or Edge AI for short. Until now, sensors have had to send received data to a central cloud, where it is analyzed and stored. With Edge AI, on the other hand, data can be evaluated directly in end devices where it is generated. This reduces the number of sensors required, the amount of data transmitted, and can make systems more resilient to disruptions. The security of personal data increases, while data storage requires less energy. To provide companies with access to Edge AI, the Institut für Mikroelektronik Stuttgart (IMS CHIPS), the FZI Research Center for Information Technology and Hahn-Schickard are launching the new project "Microelectronics for AI - Data-Oriented Realization in Industrial Applications" (DoRiE). The goal of the three innBW institutes is to implement lean AI chips for decentralized applications on sensors, robots and machines in industry. The Baden-Württemberg Ministry of Economics is funding the two-year joint project with around two million euros.

To improve the transfer of know-how from science and research to industry, the institutes form a low-threshold access to an Edge AI consulting team that is open to companies in Baden-Württemberg. Via QuickChecks and Exploring Projects, there is the possibility to outline a viable technical solution path in addition to an initial assessment and evaluation of application ideas for Edge AI in one's own company. Interested companies can apply for the free QuickChecks at the partner institutes.

"Artificial intelligence is the new enabling technology in many areas of life and has gigantic value creation potential. In this context, AI chips with learning capabilities are becoming increasingly important for Industry 4.0 applications and the Internet of Things. With this project, we are further expanding our range of expertise for technology transfer in this key discipline of artificial intelligence. In doing so, we are taking an important step towards industrial application in our SME sector. Many companies from a wide range of industries in Baden-Württemberg can benefit significantly from this offer," said Minister of Economic Affairs Dr. Nicole Hoffmeister-Kraut.

FZI Research Center for Information Technology

Dipl. Wi.-Ing. Jan Wiesenberger
Haid-und-Neu-Straße 10-14
76131 Karlsruhe
Phone: +49 721 9654-0


Institute of Micro- and Information Technology

Prof. Dr.-Ing. Alfons Dehé
Wilhelm-Schickard-Straße 10
78052 Villingen-Schwenningen
Phone: +49 7721 943-0


Institut für Mikroelektronik Stuttgart

Prof. Dr.-Ing. Joachim Burghartz
Allmandring 30a
70569 Stuttgart
Phone: +49 711 21855-0


Innovationsallianz Baden-Württemberg

Prof. Dr. Alfons Dehé
c/o Hahn-Schickard
Institut für Mikro- und Informationstechnik
Wilhelm-Schickard-Straße 10
78052 Villingen-Schwenningen
Phone: +49 7721 943-0

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