Fraunhofer Group for Production
Artificial Intelligence (AI) encompasses methods and systems that enable machines to exhibit intelligent, human-like behavior -ranging from rule-based approaches to data-driven machine learning techniques. While classical AI typically specializes in narrowly defined tasks, general (or strong) AI aims for the broad transferability of capabilities.
The current generation of generative AI is unlocking new potential: models capable of generating text, images, audio data, or program code are transforming the way companies operate. They open up entirely new application scenarios in development, planning, and production - and make the entry into AI more attractive, even for small and medium-sized enterprises (SMEs).
The institutes of the Fraunhofer Group of Production address key fields of AI expertise and research - from classical machine learning techniques and digital twins to state-of-the-art generative approaches. These developments find application across numerous industrial contexts, including robotics, image and speech processing, quality assurance, production planning, and data-intensive process optimization.
To provide a clear overview of this broad scope of research and application, we have organized our activities into four clusters that cover the entire AI value chain in production - spanning everything from methods and applications to strategy and workforce qualification:
