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AI on the edge for a secure and autonomous distribution grid control with a high share of renewable energies. – AI4DG
energy sources and storage systems must be intelligently and informatively connected. The project AI4DG
AI system to solve the limited-data challenge for Robotic X-ray quality control of large objects – RoboQuality
recent research works have shown that artificial intelligence techniques are able to substantially improve
AI-aided FEC code design and decoding – AI4CODE
The aim is to develop skills in artificial intelligence and machine learning, and to explore how learning
AI.iO Artificial Intelligence in Orléans: Learning from heterogeneous data and expert knowledge. Applications in geological and environmental sciences – AI.i0 PhD Fellowship
important research environment in Artificial Intelligence (AI) with both fundamental and applied research [...] teaching in AI, Ch.A.I.R.E.-O (Chair Artificial Intelligence Research for Environment in Orléans, leader
AI@IMT Responsible AI for Industry and Society – AI@IMT
research agenda in the priority area of Artificial Intelligence and expanding its already substantial PhD program [...] “Digital platform and performance of artificial intelligence algorithms” (2020). IMT schools are involved
ARTificial Intelligence-based Cloud network control – ARTIC
In recent years, computer networks have become more complex with an increasing diversity of devices and increased traffic dynamics. One solution to deal with this situation is Knowledge Defined Networking (KDN), where machine learning (ML) and artificial intelligence (AI) are combined with SDN / NFV and network monitoring. According to this paradigm, we aim to develop an AI framework capable of learning new efficient network control algorithms.
ARTificial Intelligence-based Cloud network control – ARTIC_2_Ukraine
where Machine Learning (ML) and Artificial Intelligence (AI) are combined with SDN/NFV and network
ARTificial Intelligence-based Cloud network control – ARTIC_1_Ukraine
where Machine Learning (ML) and Artificial Intelligence (AI) are combined with SDN/NFV and network
ASP technologIes for Querying large scale multisource heterogeneous web information – ASPIQ
The overall objective of the project is to propose new solutions for querying large scale multisource heterogeneous information, with two applications to web linked data and underwater archaeological surveys, where in both applications we face large data sets expressed in RDFs and OWL.
Accelerated Discovery of Optical Materials by Artificial Intelligence – AI-DiscovMat
discovery of optical materials using artificial intelligence (AI) will be initiated and developed. High-
