ISM 2022: International Conference on Industry 4.0 and Smart Manufacturing
Sprache des Tagungstitel:
Envisioning a foreseeable ?post digitalisation? era in industrial innovation, we identify massive potential in the miniaturization and autonomisation of seamlessly embedded AI technologies towards a ground breaking, rigorous and ubiquitous ?cognification? of industrial systems. Current trends include the deployment of AI technology in industry, involving centralized, edge and cloud-based back-end AI, with very complex algorithmic machine learning strategies, massive computational effort for model training and inference and intricate generation and handling of huge data sets. Our research, in contrast, aims for a radically miniaturized, radically dispersed, federated, resource- efficient, low power, low algorithmic complexity, live, online, human brain inspired, real-time AI that operates on- device, and reliably even in harsh environments. We attempt for autonomic ondevice AI, and its amplification to collective on-multiple-device AI. Thus we address (i) the miniaturization of AI systems (hardware, algorithms, methods), (ii) the orchestration of dispersed AIs, (iii) the opportunistic self-organization of limited resource ensemble AIs, (iv) reinforcement-, federated- and transfer-learning models and methods to operate embedded AIs, as well as (iv) the mapping of all the related findings into the cognification of products and production systems of the future.
Sprache der Kurzfassung:
Hauptvortrag / Eingeladener Vortrag auf einer Tagung