AI-SPRINT defines a novel framework for the design and operation of AI applications in computing continua.

AI-SPRINT goes beyond supporting AI applications development by enabling the seamless design and partition of AI applications among the plethora of cloud-based solutions and AI-based sensor devices, providing security and privacy guarantees.

Use Cases

AI-SPRINT - Unleashing the potential of Artificial Intelligence and Edge Computing in three thematic use cases


Creating new tools for the development of AI applications whose components will run seamlessly and securely across distributed heterogeneous infrastructures.
Providing advanced strategies to design and optimally partition AI models considering model accuracy, application performance, security and privacy constraints.
Delivering solutions for the agile delivery and secure automatic deployment and execution of AI applications and models across the cloud-edge continuum while preserving the privacy of users’ data.
Implementing a runtime environment to monitor application executions with data load variations of sensor streams or component failures.
Supporting continuous training and application architecture enhancement to add fresh data to AI applications, exploiting novel edge AI-based sensor capabilities.
Driving innovation

AI-SPRINT comes into play as a framework for developing AI applications.

The new EU research initiative set to drive innovation for Artificial Intelligence applications in cloud and edge environments.

More Insights at



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Personalised Healthcare Use Case Webinar: webinar highlights

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AI-SPRINT at the IEEE EDGE 2021 conference

The IEEE EDGE 2021 is an international conference for academia and industry focused on exchanging the latest fundamental advances in the state-of-the...

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EURO-PAR 2021: Conference on Parallel and Distributed Computing

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AI-SPRINT participation in COMPSAC 2021

The COMPSAC 2021 is the IEEE conference dedicated to the Computer Society. Representatives of the AI-SPRINT project had the opportunity to join and...

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