EdgeAI-Trust will develop a domain-independent end-to-end collaborative AI architecture and large-scale edge AI technologies. It will enable devices to learn, adapt, and coordinate with one another for cognitive reasoning tasks despite a dynamic zero-trust environment. The core of our approach increases trustworthiness, reliability, safety, security, energy efficiency, sustainability, and societal acceptance of AI through the orchestration of AI components, virtualization of heterogeneous distributed AI resources for federated learning, rigorous plausibilization, explanation and monitoring of AI decisions and standardized interfaces and toolchains for optimizing and validating edge AI solutions. The technical activities will be complemented by community building for liaising with related projects and stakeholders, standardization, and road mapping that will lead to a European-edge AI ecosystem.
In this project our multicore team in Barcelona will provide performance verification and validation solutions to meet software timing requirements. We will identify convenient platform configurations for the NXP iMX8 platform that allow controlling interference by construction.