The objective of the AI4DI project is to research and develop AI technologies implemented to different industrial sector applications and deployed under conditions as close as possible to real-life. The project aims to enhance processes based on repetitive tasks, focusing on replacing process identification and validation methods with intelligent technologies across industries such as automotive, semiconductor, machinery, food and beverage, and transportation.
AI4DI is building a roadmap on AI-based technologies, exploitation studies, business cases that are supporting accelerating the adoption of AI hardware (HW) and software (SW) solutions by the European industry for approaching its most urgent priorities in digitalisation and moving the intelligence to the edge and providing new distributed reference architectures that are aligned with the industrial requirements. Growing data factors cause the demand for high AI performance (e.g., data quality) and industrial advancements (e.g., moving from linear to network-based manufacturing processes). AI4DI is developing industry-grade AI technologies tailored to the European industry's specific needs based on various industrial sectors' requirements and specifications.
AI4DI provides a high-level reference hybrid system architecture for the digitalising industry and defines the different building blocks, functions, interactions, and workflows based on AI and IIoT solutions for seamless integration and scalability. The hybrid system architecture is applied to distributed and heterogeneous systems as reflected by the AI4DI applications in the different sectors.
The project's ultimate goal is to provide AI-based technologies at the edge for digitalising the industry by reducing costs, save time, optimising/improving processes/products/services, increasing quality by enhancing industrial processes, and built and sustain a dynamic AI technology ecosystem in Europe.