Περισσότερα
The project of the University of West Attica (UNIWA) entitled “Development of UNIWA Infrastructure for Research and Innovation in Artificial Intelligence and its Applications” (UNIWA AI Innovation Hub) concerns the creation of a unique infrastructure and a model access point for the businesses of Attica to an ecosystem of cutting-edge infrastructures and specialized human resources for a wide range of fields of activity with a central focus on the utilization of Artificial Intelligence technologies.
The Central Infrastructure for Cloud Computing and Artificial Intelligence (UNIWA CloudAI) is designed to support multi-user access, easy maintenance, and the ability to and hardware expansion, to adapt to the increased needs that will future needs. Users (researchers and SME software engineers) will should be able to connect to the infrastructure easily and in a secure manner, so that while sending their data for further processing and analysis, their privacy and integrity should be ensured.
Servers: Dell EMC PowerEdge R430, R630, R730 or R730xd Servers | CPUs: Intel® Xeon® E5-2600 v4 family dual processors | Memory: 128/256/512GB per node | Storage array | Dell EMC Networking S3048/S4048-ON switches 1GbE/10GbE configurations | Firewall | Software-defined storage nodes: Dell EMC PowerEdge R730xd Servers | Workstation including 16 graphic cards for training deep neural networks using big data. Each card has the following characteristics: | Memory: 32GB | Bandwidth: 900 GB/s | Cores: 640 Tensor Cores
The UNIWA AI Innovation Hub covers a wide range of specialization areas that are part of the priorities for the “Sustainable Economy of Needs”, the “Creative Economy” and the “Blue Economy” of the Smart Specialization Strategy of Attica in the framework of the implementation of the Regional RIS3.
The proposed infrastructure covers specific needs of SMEs in Attica, as expressed by more than 125 Letters of Interest (LOIs) accompanying the project, while there is a clear potential for synergies with existing clusters, such as:
The UNIWA AI Innovation Hub contributes substantially to removing the scientific and technological constraints and gaps that SMEs face in resources, infrastructure, tools and skills to create prototype products or services by integrating cutting-edge technologies from the fields of AI, Machine Learning and Data Science.
The objectives of detecting and calibrating possible bone mass reduction through biomarkers in their technical mapping correspond to the definition of classification and regression systems on the basis of heterogeneous measurements and signals.
Development of a model for the optimal planning of the operation of combined PV base and battery energy storage units, utilizing machine learning techniques for the prediction of critical parameters, in in the context of intelligent energy management of similar systems.
The organization of UNIWA CloudAI has been based on the separation of responsibilities in terms of managing the technical infrastructure, communicating with the researchers and companies that will make use of its resources, and planning and future development.
