D5.1 – Algorithms and methods prototype

This deliverable presents the first version of the edge AI algorithms, which serve to the objectives (O 5.1): Identify the key Edge AI hardware, middleware and software design and implementation challenges. Early versions of Edge AI algorithms and methods for resource-constrained devices have been developed to improve distributed learning strategies with continual, hierarchical and incremental learning. On the device level, neuromorphic softwares are developed for neuromorphic hardware. A major focus made is on deploying edge AI run-time inference with adaptation mechanisms in changing environments or conditions, considering multiple inputs (cameras, event cameras) and modalities (vision, audio, EEG) and tasks (2D segmentation, 3D reconstruction). A total of 18 patterns have directly participated in achieving objective 5.1, who have different expertise and collaborations targeted for specific or multiple usecases.