Num. Contratto:
101135982

Coordinatore: CERTH - CENTRE FOR RESEARCH AND TECHNOLOGY HELLAS (Grecia)

Responsabile ENEA: RAO MARCO - NUC-TECFIS-ACP (FRASCATI)

Ruolo ENEA: PARTNER

Sito Web: https://hyper-ai-project.eu/

Programma Quadro: HORIZON EUROPE

Programma UE: Cluster 4 - Digital, Industry and Space - Cluster 4 - Digital, Industry and Space

Area Tematica: ICT

Tipo Progetto: RIA - Research and Innovation Action

Descrizione:

In HYPER-AI, we work with smart virtual computing entities (nodes) that come from a variety of infrastructures that span all three of the so-called computing continuum's layers: the Cloud, the Edge, and IoT. It focuses on intensive data-processing applications that present the potential to improve their footprint when hyper-distributed in an optimized manner. In order to give targeted applications access to computational, storage, or network services, HYPER-AI implements the idea of computing swarms as autonomous, selforganized, and opportunistic networks of smart nodes. These networks may offer a diverse and heterogeneous set of resources processing, storage, data, communication) at all levels and have the ability to dynamically connect, interact, and cooperate. HYPER-AI proposes semantic representation concepts to enable heterogeneous resources’ abstraction in a homogeneous way, under a common annotation (computing node), across the whole range of network infrastructures. The main orchestration and control concept of HYPER-AI is inspired by autonomic systems (self-CHOP principles) which employ swarmed computing schemes. Its objective is to make smart multinode (swarm) deployment scenario design, execution, and monitoring easier, through appropriate AIs for self-configuration (nodes assigned resources), self-healing (swarmed nodes lifecycle), self-optimizing (exploiting built-in situation awareness mechanisms) and self-protecting (intrusion detection, privacy, security, encryption and identity management) at application runtime. In order to support dynamic and data-driven application workflows, HYPER-AI suggests the flexible integration of resources at the edge, the core cloud, and along the big data processing and communication channel, enabling their energy, time and cost-efficient execution. Finally, distributed ledger concepts for security, privacy, and encryption as well as AI-based intrusion detection are also considered

Attività svolta da ENEA:

ENEA partecipa al progetto con lo sviluppo di uno “Use Case” legato al reattore di ricerca TRIGA operato da NUC-IRAD e con tecniche di IA sviluppate da NUC-TECFIS-ACP l’ENEA partecipa attivamente a sette WPs: WP1 Project Management Phase 1; WP2 Project Management Phase 2; WP3 State Requirement Definition; WP7 Prototyping, Verticals Preparation and IDE; WP8 Applications, Verticals and Evaluation; WP9 Dissemination, Communication and Exploitation Phase1; WP10 Dissemination, Communication and Exploitation Phase1

Note:

Posizione:
1780

Codice Atto:
PF7ABY

Atto di approvazione ENEA:
determinazione 96/2024/NUC

Unità alla stipula:
NUC-TECFIS-ACP

Costo eleggibile del Progetto: 4.628.975,00

Contributo al Progetto: 4.628.975,00

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Costo eleggibile per ENEA: 228.875,00

Contributo ad ENEA: 228.875,00

Anno di stipula:
2024

Durata in mesi:
36

Data di inizio:
01-04-2024

Data di scadenza:
31-03-2027