Machine intelligence techniques for smart and sustainable planning and operation of IoT and Edge computing applications (MIRAI)

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Keywords 

Artificial Intelligence (AI), Distributed AI, Secure Analytics, Access Control, Privacy.

Project description 

For the last two decades the standard approach for IoT applications has been to leverage cloud infrastructure to address the constraints on the level of end and edge nodes. Especially with the advent of applications with hard real-time requirements and increasing AI usage and its demand for more storage and computational power this approach alone is not viable any longer.

aims to develop the MIRAI Framework Building Blocks (MFBB), based on AI techniques, to enable smart and sustainable planning and operation of IoT and Edge computing applications. This will supplement the traditional scaling approach to the cloud with horizontal scaling of IoT and edge computing applications amongst edge devices

The Belgian use cases within MIRAI will focus on distributed renewable energy systems, traffic management and water management. 

Project partners (BE) 

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Project details

December 2020 - November 2023

WIth the support of

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This is a cross-domain project in collaboration with the software engineering of Sirris.