MIRAI
Machine Intelligence for smart and sustainable planning and operation of IoT and Edge
Project description
The standard approach of IoT applications when leveraging cloud infrastructure to address constraints at the level of end and edge nodes is no longer viable, especially for applications with hard real-time requirements and increasing AI usage. This project will develop MIRAI Framework Building Blocks (MFBB) based on AI techniques in order to enable the smart and sustainable planning and operation of IoT and edge computing applications. This will supplement the traditional vertical scaling approach to the cloud with the horizontal scaling of IoT and edge computing applications amongst edge devices.
https://project-mirai.eu
Project publications
- MIRAI Project profile leaflet Project Leaflet 08 July 2021 Download
- The ITEA MIRAI project will host a workshop on “Distributed AI for REsource-Constrained Platforms” News item 05 February 2021
- Lightweight anomaly detection on resource-constrained water meters News item 04 November 2022
- MIRAI project partners NOS, ISEP and FEUP develop smart anomaly detection techniques to better protect customers’ private networks News item 09 January 2023
Work package documents
- 19034_MIRAI_D1.1_MIRAI_Framework_Requirements.pdf Work package document 13 October 2021
- D1.2_2nd_Leg_v1.pdf Work package document 14 February 2023
- D1.2_KPI Framework_vfinal.pdf Work package document 17 December 2021
- MIRAI D2.1_v1.0.pdf Work package document 27 December 2021
- MIRAI D2.2 MIRAI ML+AI algorithms and data-mining models specification and design.pdf Work package document 17 November 2022
- MIRAI_D1.1_2ndLeg_vf.pdf Work package document 14 February 2023
- MIRAI_D5.2_v0.2.1.pdf Work package document 20 February 2023
- MIRAI_D5.2_v1.0.pdf Work package document 23 February 2023