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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
ARTIFICIAL INTELLIGENCE FOR INDENTIFICATION OF WOOD AND CHARCOAL IN ARCHAELOGICAL AND PALAEOLOGICAL PERSPECTIVE – AI-WOOD
Anthracology is a robust method of studying forest stands and their transformation as a result of climatic changes or human practices, but also the uses of wood as fuel and material. This method is ba
ARTIFICIAL INTELLIGENCE AND ALGORITHMIC COLLUSION (AIAC) – AIAC
and utilizing repricing software, it tests the intelligence of pricing software and its potential for collusive
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
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-enabled MUltimodal SEmantic COMmunications and COMputing – MUSE-COM^2
communication and computing exploiting artificial intelligence and machine learning techniques implemented
AI-enabled Digital Pathology for Spatially Resolved Molecular Profiling – DAFNI
concevoir et d’évaluer de nouveaux modèles d’intelligence artificielle permettant de quantifier autom
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
