A variety of insights presented at the AI congress
The speakers at the third “Smart Machines in Use” AI congress (in German) will offer insights into all of these aspects. The congress is organized by Fraunhofer IPA in cooperation with the Konradin Media Group and their well-known “bild der wissenschaft" magazine. Renowned futurologist and science and technology journalist Dr. Ulrich Eberl will be the moderator. Political representatives include the Minister for Economic Affairs, Labor and Tourism of Baden-Württemberg, Dr. Nicole Hoffmeister-Kraut, who will give the welcoming address, and Dr. Anna Christmann, former Chair of the German Parliament's AI Symposium, as well as Professor Dr. Patrick Glauner of the “AI Federal Association” as moderator of the panel discussion.
Another focus of the event is AI in practice. Speakers from the Trumpf, Mackevision and Dataiku groups will speak on AI in everyday business practice, hurdles they have overcome and what has helped them in the implementation of AI solutions. A third focus topic is research contributions. Professor Dr. Christoph Keplinger, Director of the Max Planck Institute for Intelligent Systems, will discuss basic research in AI and robotics carried out by the Cyber Valley AI Research Association. Dr. Werner Kraus from Fraunhofer IPA will give live virtual insights into robot testing facilities and showcase the value added of AI for robotics and automation. Additional successful implementation examples and project formats for collaborations between research institutions and business will serve as a complement to the program.
Here, Fraunhofer IPA has first-hand experience from its comprehensive research on this subject and offers various (sometimes free) support models in the area of AI for manufacturing, for example as part of the “Center for Cyber Cognitive Intelligence” and the “Innovation Center Learning Systems and Cognitive Robotics“ together with Fraunhofer IAO. The scientists have already been working on more than 130 projects on the topic of AI across both centers for industries as diverse as manufacturing engineering, medicine, measuring technology, agriculture, distribution, quality assurance and many more. As a result, the scientists know of both the obstacles and the innovative trailblazers for successful AI projects in business practice. By compiling its own studies on both dependable and explainable AI, the institute is actively helping to shape trustworthy AI.