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Twinning action for spreading excellence in Artificial Intelligence of Things

Descripción del proyecto

Esfuerzos para lograr la excelencia en la investigación sobre la inteligencia artificial en el internet de las cosas

Con miles de millones de dispositivos físicos conectados a internet, no se pueden subestimar las ventajas del internet de las cosas (IdC) para la mayoría de los sectores y organizaciones. De hecho, impulsan a muchos a financiar y fomentar la investigación en este ámbito. Sin embargo, existe el riesgo de que, sin la cooperación y los esfuerzos necesarios, la Unión Europea y sus miembros se queden rezagados en dicho sector tecnológico. El equipo del proyecto AIoTwin, financiado con fondos europeos, ofrece una solución al introducir una iniciativa de cooperación entre los principales investigadores, universidades e instituciones europeas. Mediante esta iniciativa planean aumentar la excelencia investigadora de la Facultad de Ingeniería Eléctrica y Computación de la Universidad de Zagreb y otras universidades europeas en el campo del IdC, así como formar a nuevos investigadores.

Objetivo

AIoTwin is a twinning coordination action for spreading excellence in Artificial Intelligence of Things, bringing together researchers from three European universities (UNIZG-FER, TUW and TUB) and one research institute (RISE). The goal is to significantly strengthen the scientific excellence and innovation capacity of UNIZG-FER in the area of the Internet of Things through knowledge transfer and strategic networking activities between UNIZG-FER researchers and world-class scientists from leading EU institutions. This will be achieved through an elaborate work plan and a comprehensive set of activities that will increase the mobility of researchers and improve the scientific and innovative capacities as well as the attractiveness and visibility of UNIZG-FER in the European Research Area. AIoTwin identifies four research domains relevant to AIoT: 1) Edge Computing and Orchestration, 2) Federated and Decentralised Machine Learning, 3) AI for Robust and Energy-Efficient IoT, and 4) Distributed Ledger Technology (DLT) for IoT, which align well with current research directions leading to the new evolutionary phase of next-generation IoT. The knowledge gained through the networking activities in the RDs will be the driving force for conducting a joint research project on data-driven orchestration middleware for energy-efficient IoT supporting ML workflows. The middleware will be tested on a selected use case using the consortium's shared infrastructure. In addition, the project will strengthen the research management and administrative skills of UNIZG-FER staff.
AIoTwin provides a unique opportunity for UNIZG-FER researchers to work closely with leading international researchers to develop new ideas, foster creativity, and strengthen the impact of all participating partners on an international level. It will contribute to strategically reduce disparities between Croatia and other EU Member States participating in the Horizon Europe programme.

Coordinador

SVEUCILISTE U ZAGREBU FAKULTET ELEKTROTEHNIKE I RACUNARSTVA
Aportación neta de la UEn
€ 544 500,00
Dirección
UNSKA 3
10000 Zagreb
Croacia

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Región
Hrvatska Grad Zagreb Grad Zagreb
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 544 500,00

Participantes (3)