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2 million euros to expand the range of competencies for a technology transfer
The German state of Baden-Württemberg is funding a joint project on adaptive Artificial Intelligence (AI) chips with around 2 million euros. This will further expand the range of competencies for technology transfer in this key discipline of artificial intelligence.
In this wat, the Baden-Württemberg Ministry of Economics, Labour and Tourism supports the joint project on adaptive AI chips "Microelectronics for AI - data-oriented implementation in industrial use (DoRiE)" organized jointly by the Institute for Microelectronics Stuttgart (IMS CHIPS), the Research Center for Computer Science Karlsruhe (FZI) and the Hahn-Schickard Society for Applied Research eV.
The three business-related institutes of the Baden-Württemberg Innovation Alliance are jointly implementing AI systems for decentralised use on sensors, robots or machines in industrial applications. The three institutes are supported by an innovation advisory board with representatives from business.
“Artificial intelligence is the new basic technology in many areas of life and has gigantic value creation potential. With the project, we are further expanding the range of competencies for technology transfer in this key discipline of artificial intelligence. We are thus taking an important step towards industrial application in our medium-sized companies. Many companies from a wide variety of industries in Baden-Württemberg can benefit significantly from the offer,” commented the Minister of Economic Affairs, Dr. Nicole Hoffmeister-Kraut.
The research organisations have already received expressions of interest for the innovation advisory board from well-known small and medium-sized manufacturing companies. Interested organisations may also join the advisory board during the project's duration.
Furthermore, the aim is to collaborate with state-based application-oriented AI research projects such as the "Learning Systems and Cognitive Robotics Progress Center" or the "Competence Center for AI Engineering CC-KING."
Various functions and components for industrial use are developed. Applications here are, for example, sensor solutions with integrated local AI for object recognition, Edge AI solutions for robotic arms in lightweight construction and collaborative applications, or for use on gripping systems with local intelligence.
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