SAFE AI ENGINEERING
AI engineering ensures safety of AI components for autonomous, connected driving
Start: 06/2021
End: 11.2023
The second phase of the Intelligente Dianostik (Intelligent Diagnostics) project focuses on developing an improved. miniaturized and cost-effective diagnostic system that can be used to automatically expertly diagnose malignant skin lesions in a robust, explainable and safe manner. To this end, the project will first expand data acquisition to build a larger pool of training data and then improve the existing AI model. Cooperation with several clinics is planned that will allow higher case numbers and hence better training data. In addition, case numbers are to be increased by including additional skin diseases.
Within the scope of the project, the FZI is focusing on challenges that arise from the cross-site operation of AI systems. This also includes the exchange of the comprehensive training data between different locations. The FZI is modifying existing federated learning approaches in order to implement, on the one hand, an efficient exchange of information, and on the other a cross-site orchestrated training process to facilitate the creation and distribution of new improved AI models.
Further work will focus on miniaturizing the existing demonstrator. In this context, the FZI is developing a mobile client for the compact, hand-held diagnostic system (KOMPASS). However, in this regard the FZI is also studying possibilities to balance the functionality between the backend and the mobile device to enable lightweight and performant application despite fewer mobile client resources.
In this research focus, the FZI concentrates on practical research into the key technology of Artificial Intelligence (AI). Innovative AI solutions are developed and transferred to application areas such as mobility, robotics, healthcare technology, logistics, production, and supply and disposal on behalf of our partners and customers.
Funding notice:
The Intelligente Diagnostik 2 project is funded by the Ministry of Economic Affairs, Labour and Tourism.
Project partners:
AI engineering ensures safety of AI components for autonomous, connected driving
Data trustee model protects use of individual health data in research
AI-based software detects and corrects motion artifacts in OCT images.
Thanks to the measurement of social interaction, psychological stress caused by loneliness can be detected at an earlier stage
Digital platform for dementia prevention helps address the lack of exercise
More exercise in everyday life: Self-learning real-time system recognizes behavior patterns and recommends customized activities
AI assistant serves as first point of contact for legal questions
AI engineering empowering security reasoning throughout the entire lifecycle of an AI function
Secure and self-determined digital identities in e-commerce
Co-design for application-specific microelectronics with innovative chiplets in Baden-Württemberg