DIPOL partner organizations representatives met with the external experts /Advisor board today. The meeting was attended by Ms Liisa Hakola , prof. Antonio Skarmeta, prof. Mirko Presser, Mr Branimir Rakić, Ms. Svjetlana Krco and prof. Tomo Popovic. The agenda included project status review, discussion of project results and the plans to organize a Workshop with panel discussion in September. The discussion included brief introduction to all of the current project resulted from the partnership development.
Agenda for the meeting with external expertsProject results were summarized during the presentation
New H2020 project: AIMHiGH project Kick-off meeting took place at the University of Donja Gorica on 26 June 2021. The title of the project is AI/ML Enabled by HPC for Edge Camera Devices for the Next Generation Hen Farms and it is funded as an application experiment within Horizon 2020 FF4EuroHPC project. The AIMHiGH project proposes the use of HPC and deep learning AI to create prediction models that can be deployed on the edge devices equipped with camera sensors for the use in IoT/AI solutions in the poultry sector. UDG will be providing HPC and domain expertise through NCC Montenegro and FoodHub Centre of Excellence.
H2020 FF4EuroHPC Application Experiments: HPC and AI for Hen FarmsAIMHiGH project to last 15 months
Our new H2020 project called TRACEWINDU has just started. On June 9 and June 11, we took part in the project Kick-off Meeting. This project is one of the main outputs of the partnership development efforts of our researchers. The project is coordinated by the University of Barcelona and there are partners from Spain, Italy, France, Montenegro, Serbia and Argentina involved. This project is funded under Marie Skłodowska-Curie Research and Innovation Staff Exchange funding schema.
H2020 TRACEWINDU Kick-Off Meeting
DESCRIPTION of the TRACEWINDU project (from CORDIS) – Each year the wine industry loses billions of euro from counterfeit wine and illicit trades. The EU-funded TRACEWINDU project aims to ensure and improve the traceability of wine along the entire value chain, with intelligent labelling and data recording through blockchain technology. This will allow consumers to make purchases based on complete and reliable information about the production process. In addition to this, the project will work towards improving vineyard productivity by using plant protection products as well as geographic origin analysis as part of a multi-approach strategy to ensure wine traceability/authentication.
