Just as a sound education focusing on the appropriate subjects is the linchpin for securing a brighter future for our children, machine learning (ML) is the key technology for cognitive systems based on artificial intelligence (AI). And this is instrumental to developing the global economy in the eyes of the Fraunhofer researchers. Based on their conviction that scientific research into AI- and ML-based technologies is fundamental to bolstering Germany’s and Europe's long-term international standing, they are presenting a new report on the subject at Europe's Business Festival for Innovation and Digitization. The essays contained in "Machine learning - skills, applications and the need for research" aim to explain the key concepts of machine learning, provide an overview of the latest challenges and future research tasks, and reveal how Germany fares when it comes to applying machine learning.
Among other things, the report shows that countries such as the United States, China, South Korea and Japan are still miles ahead of Germany in terms of their numbers of ML- and AI-related patents. The authors point out that the country needs to take great care to not miss the boat by investing in ML research and ensuring that scientific findings are transferred to industry. They say that the main drive must be to promote the use of ML approaches in SMEs and encourage in-house innovation in an attempt to catch up with the front runners' patent registrations. Apparently, this is mainly a question of targeting the spread of information, in the form of best practices and specific application scenarios, for example. After all, SMEs have been found to show an interest in ML wherever this can demonstrably generate specific potential uses that add commercial value. Visitors to CEBIT can get a closer look at the results of the report and the Fraunhofer Institute’s efforts to develop key AI technologies and applications at its main stand in Hall 27.