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Progress in several areas of computer science has been enabled by comfortableand efficient means of experimentation, clear interfaces, and interchangablecomponents, for example using OpenCV for computer vision or ROS for robotics.We describe an extension of the Acumos system towards enabling the abovefeatures for general AI applications. Originally, Acumos was created fortelecommunication purposes, mainly for creating linear pipelines of machinelearning components. Our extensions include support for more generic componentswith gRPC/Protobuf interfaces, automatic orchestration of graphically assembledsolutions including control loops, sub-component topologies, and event-basedcommunication,and provisions for assembling solutions which contain userinterfaces and shared storage areas. We provide examples of deployablesolutions and their interfaces. The framework is deployed athttp://aiexp.ai4europe.eu/ and its source code is managed as an open sourceEclipse project.

Composing Complex and Hybrid AI Solutions