Projects under the Horizon Europe prism that Adrestia participates in:
Trustee
In accordance with the principles of responsible/trustworthy AI by employing a co-development approach as the foundation methodology TRUSTEE proposes a secure-by-design Federated Platform in accordance with EU data strategy (COM (2020) 66) and the main EU reference architectures (GAIA-X, EOSC, EGI) in the sector, capable of ensuring interoperability, enabling cross-border scenarios, and scaling a variety of AI-based applications through the use of open APIs, with the goal of making the EU the world's most secure and trustworthy data hub.
Chameleon
CHAMELEON is a Horizon Europe Project that aims to optimise production and identify potential problems in agriculture, livestock, forestry and rural areas. To achieve this, the CHAMELEON Project use a novel reconfigurable drone, able to modify its configuration and sizing upon demand, which can be deployed in homogeneous or heterogeneous groups to support complex scenarios, as well as a set of existing heterogeneous, modular, interoperable, networked unmanned vehicles systems.
Oasees
Horizon Europe is the EU’s key funding programme for research and innovation. The programme facilitates collaboration and strengthens the impact of research and innovation in developing, supporting and implementing EU policies while tackling global challenges. It supports creating and better dispersing of excellent knowledge and technologies.
iTrust6G
SNS JU Project at 6G Smart Networks and Services Industry Association. iTrust6G aims at designing and implementing a network architecture implementing the zero-trust principles to increase the trustworthiness of 6G networks at several levels: AI/ML algorithm exploited for threat handling, asset compliance, explainable security policies and asset observability.
AGRARIAN
AGRARIAN will rely on an agile and secure Hybrid Communication Emulated infrastructure (TRL 4-5), incorporating satellite/terrestrial communications technologies (5G, LTE, etc.), IoT infrastructure, device-edge-cloud computing, and large-scale data processing with AI/ML capabilities. This environment will enable the development of tools and apps for agriculture, improving operational effectiveness through real-time data processing and offering a dynamic programming environment for programmers and stakeholders, creating a holistic Agricultural Decision Support System (ADSS) for last-mile connectivity and edge solutions. To enhance innovation exploitation, AGRARIAN will provide financial support to third parties, encouraging the development and validation of apps and tools under the AGRARIAN framework and promoting a new dynamic ecosystem.
RAIDO
RAIDO will identify the critical technology gaps and invent, optimize, assess and demonstrate the key enablers for optimized AI solutions for model design and efficient data usage. This project will address both focus areas but the main one is on ‘automated and AI-based mining, harvesting, selection, cleaning, annotation, and/or enrichment/ augmentation of data for AI; generating and using synthetic data to reduce the need for large volumes of real and potentially sensitive data; validating the efficiency of these processes in AI systems’.
CSS BOOST
A CSS is a multi-actor entity in which interdependent actors play complementary roles. These include for-profit companies, public services, governmental bodies, municipalities and cities, academic & research institutions, non-profit organizations, consumers, and citizens. Such an Ecosystem is a complex systemic undertaking, especially if viewed as evolving in time and operating in regional Market conditions. It emerges or is created around a common, system-level goal related to resource circularity, and may involve the creation of CE knowledge, CE businesses, and economic value4. There are technologies to select and configure, barriers to overcome, risks to predict and manage, instruments, business models, and governance conditions to be considered and optimized. The conceptualization of a CE/CSS ecosystem and the regional market is a fundamental issue for any research project based on this theme. Where to draw the boundaries of the ecosystem, what the relevant structure is, and how the ecosystem evolves are important issues.
EUSOME
The emergence of large drone systems that can be integrated with intelligent coordination technology has enabled Advanced Air Mobility (AAM) concepts that are poised to revolutionize a broad range of domains including transport (including logistics), and climate adaptation. Nevertheless, despite commendable global initiatives, Southeast Europe is facing challenges and delays in adopting and implementing AAM. In this context, we introduce EUSOME with the mission to propel the AAM R&I ecosystem in this part of Europe, addressing specific regional challenges arising from its distinctive geographical characteristics. Evidently, the region would heavily benefit from the development and adoption of a transformative transportation solution that has the potential to eradicate traffic congestion and provide a transformative climate adaptation solution to a heavily stressed ecosystem. Nevertheless, the incorporation of AAM presents regulatory complexities and lacks a driving force in terms of R&I in AAM, partly due to the absence of a cohesive, open R&I infrastructure and adequate specialized mentoring programs.