SAFE AI ENGINEERING
AI engineering ensures safety of AI components for autonomous, connected driving
Start: 05.2023
End: 04.2026
How do smart devices stay secure? How do chips in cars or medical devices guarantee safe operation? ISOLDE develops open, energy-efficient system-on-a-chip solutions based on RISC-V. The FZI ensures that security functions are automatically integrated and comprehensively tested.
The aim of ISOLDE is to establish a European RISC-V ecosystem that provides powerful, energy-efficient and secure system-on-a-chip (SoC) solutions. This will serve as an open and competitive alternative to existing proprietary systems.
Demonstrators from automotive, IoT, smart home, and aerospace prove the practical suitability. ISOLDE is thus laying the foundation for outstanding, certifiable SoC solutions that are faster, safer, and independent of non-European platforms.
The FZI develops model-driven methods for the automated integration of security mechanisms into the hardware architecture of the open Rocket Chip Generator Framework.
A model-based design approach enables security mechanisms to be integrated into the chip architecture at an early stage and in a targeted manner. The resulting designs are comprehensively tested and validated through co-simulations like QEMU. This shortens development processes and increases chip security.
This research focus includes the research and design of sustainable IT innovations in the cross-sectional areas of energy, mobility, production, water management, and logistics. This involves developing systems that promote the ecologically, socially, and economically sustainable use of resources, and providing strategic consultancy services to companies, particularly SMEs, on their path to greater sustainability.
Um die sichere Digitalisierung zu ermöglichen, erforscht und vermittelt das FZI in diesem Forschungsschwerpunkt anwendungsnah innovative Konzepte, Methoden zur Absicherung von IT-Systemen sowie rechtliche Rahmenbedingungen.
AI engineering ensures safety of AI components for autonomous, connected driving
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