Descrizione del progetto
Kit computazionale per l’intelligenza artificiale
L’intelligenza artificiale progetta sistemi informatici in grado di eseguire compiti che normalmente richiedono l’intelligenza umana, quali la percezione visiva, il riconoscimento vocale, il processo decisionale e la guida di veicoli. L’impatto di questo sviluppo è rivoluzionario. Il progetto TEACHING, finanziato dall’UE, risponde a questa sfida integrando l’intelligenza artificiale con i concetti fondamentali di sicurezza e affidabilità comprendenti riscontri dalle interazioni IA-uomo-CPSoS (Cyber-Physical Systems of Systems, sistemi di sistemi ciberfisici). TEACHING mira a sviluppare CPSoS per applicazioni autonome critiche per la sicurezza, sulla base di un’intelligenza artificiale distribuita, efficiente dal punto di vista energetico e affidabile. Si ritiene che TEACHING riesca a incidere in maniera sostanziale sui sistemi automatizzati critici per la sicurezza, fornendo i mezzi per migliorare la loro sicurezza, affidabilità e accettabilità generale.
Obiettivo
Industry and society are experiencing the transformational impact of the autonomous systems revolution, empowered by automation capabilities offered by Artificial Intelligence (AI). Cyber-physical Systems of Systems (CPSoS) define a multi-faceted and dynamic environment where autonomy is fundamental to govern the complexity of interactions between the virtual and physical worlds with minimal human intervention. However, even when the most advanced degree of autonomy is exercised, the human is a variable which cannot be left out of the CPSoS equation, particularly in safety critical scenarios like autonomous transportation. TEACHING puts forward a vision of humans at the centre of autonomous CPSoS, by embracing the concept of Humanistic Intelligence, where the cybernetic and biological entities cooperate in a mutual empowerment towards a shared goal and where human feedback becomes a crucial driver for CPSoS adaptivity. TEACHING addresses the challenge by integrating AI with fundamental concepts of security and dependability stemming from the AI-human-CPSoS interactions, and by considering their impact on the underlying computing system. TEACHING develops a human-aware CPSoS for autonomous safety-critical applications, based on a distributed, energy-efficient and dependable AI, leveraging edge computing platforms integrating specialized computing fabric for AI and in-silico support for intelligent cybersecurity. The goal is to design a computing software and system supporting the development and deployment of adaptive and dependable CPSoS applications, allowing to exploit a sustainable human feedback to drive, optimize and personalize the provisioning of the offered services. TEACHING outcomes will fundamentally impact the development of autonomous safety-critical systems, providing means to improve their safety, dependability and overall acceptability. This impact will be demonstrated by TEACHING in two pilots concerning autonomous driving and aviation.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencessoftware
- social sciencessociologyindustrial relationsautomation
- social sciencespolitical sciencespolitical transitionsrevolutions
- natural sciencescomputer and information sciencescomputer security
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
56126 Pisa
Italia