After the successful completion of the 1st AIoTwin Summer School, the AIoTwin Consortium held the Plenary Meeting in Šibenik on Friday, September 8, 2023 . The work package leaders presented the status of activities in their work packages, reviewed the achieved KPIs and set the plans for the following period until the end of 2023. Here are some highlights: one short-term staff exchange was successfully completed, another is still planned until the end of 2023 two short-term trainings were successfully organized in 2023 one expert visit is planned for October/November 2023 the first summer school has achieved all set objectives all 4 Research Domains were covered by the project activities, with a strong focus on RD1 and RD2 two joint conference publications and one joint journal publication are planned and on their way. We are looking forward to the new project results!
The first PhD forum within the scope of the AIoTwin project was held as a part of the 1st AIoTwin Summer School in Šibenik from September 4th to September 7th, 2023. 11 PhD students actively participated and presented their research topics and the results obtained within their doctoral studies through the short pitch-talk presentations. Afterwards, the participants had the opportunity to discuss their research ideas and contributions with other participants and senior researchers from the AIoTwin consortium at the poster session.
We are thrilled to announce that the final program for the 1st AIoTwin Summer School is now available! The programme includes four keynote lectures, six comprehensive tutorials and two intensive hands-on workshops. In addition, we are organizing a boat trip and a visit to the St. Nicholas' Fortress , which is a UNESCO World Heritage Site. Programme Details : https://www.aiotwin.eu/_download/repository/SummerSchool2023-DetailedProgram-v1.pdf The AIoTwin Consortium is looking forward to this exciting learning journey at the intersection of the Internet of Things and Artificial Intelligence.
We call for doctoral students to participate in the PhD Forum organised as part of the 1st AIoTwin Summer School in Šibenik, Croatia on September 6, 2023. The PhD Forum offers doctoral students the opportunity to present their work and discuss the details of their original contribution with top academics – professors and senior researchers working in the field of IoT and AI - from leading European universities. The aim is also to encourage interaction and networking between doctoral students from different universities. Deadline for submission of Extended Abstracts: August 25, 2023 Further information about the PhD Forum and particpation is available here . And all information (programme, venue, registration) about the 1st AIoTwin Summer School can be found here .
Berlin, Germany - TU Berlin hosted a highly successful two-day hands-on workshop on Knowledge Graphs, AI Models with VisionKG, and Learning on Edge Devices with Flower from June 19 to June 20, 2023 . Participants from FER-Unizg, TU Wien, and TU Berlin gained valuable insights into the latest advancements and practical applications of these technologies.
Ivan Čilić participated in the first short-term staff exchange within the AIoTwin project. The exchange took place from April 15 to June 4 2023 at the Distributed Systems Group (DSG) at TU Vienna. Through workshops, discussions, and cutting-edge research, Ivan and colleagues from DSG started the collaboration in the area of hierarchical and adaptive federated learning in IoT edge environments. The results of the exchange will be presented in the form of a journal article with the following working title: Adaptive Orchestration of Federated Learning Workflows. The exchange has facilitated the establishment of a close partnership and opens the doors for future joint research tasks. In this YouTube video, you can see what a researcher's day at TU Vienna looks like:
The first public presentation of the project was held on May 24, 2023, during the National Information Day of the Horizon Europe Programme , organized by the Agency for Mobility and EU Programmes . The project coordinator Ivana Podnar Žarko presented the objectives and activities of the project, as well as the expected results, outcomes and long-term impact. She also explained the process of proposal preparation, from the selection of research topics, SWOT analysis of IoTLab and formation of the consortium, to the definition of project activities. We hope that the presentation will encourage participants to prepare new project proposals for Horizon Europe calls under the " Widening participation and spreading excellence ” sub-subprogramme. More information about the event is available here .
We are pleased to announce that the first AIoTwin Summer School will be held in Šibenik, Croatia . Šibenik is a unique city on the Adriatic coast with two UNESCO World Heritage Sites: The Cathedral of St. James (Šibenik Cathedral) and the Fortress of St. Nicholas. Dates : 4-8 September, 2023 Venue : Educational campus inside the Fortress of St. John’s
We launched the project “ AIoTwin: Twinning action for spreading excellence in Artificial Intelligence of Things ” on January 1, 2023 , funded by the European Union under the Horizon Europe programme. The AIoTwin kick-off meeting took place from January 31st to February 1st 2023 in sunny Zagreb, Croatia, at the Faculty of Electrical Engineering and Computing of the University of Zagreb (UNIZG-FER). 16 participants from all four partner countries took part in the fruitful discussions to launch the project activities by getting acquainted with each other’s expertise and technological offerings, and also discussing the details of future collaboration aiming at cutting-edge research in artificial intelligence for the Internet of Things. body { font-family: Arial,sans-serif; background-color: #fff; } #cms_area_horizontal_nav .navbar-nav>.nav-element>a { padding-top: 28px; color: rgba(15, 108, 177) !important; } #cms_area_horizontal_nav { background-color: rgba(255,255,255) !important; } .login_icon a { color: #fff !important; } .login_icon { background-color: rgba(15, 108, 177); }