Powered by OpenAIRE graph
Found an issue? Give us feedback

LIBRA AI TECHONOLOGIES PRIVATE COMPANY

LIBRA AI TECHNOLOGIES PRIVATE IDIOTIKI KEFALAIOUCHIKI ETAIREIA
Country: Greece

LIBRA AI TECHONOLOGIES PRIVATE COMPANY

8 Projects, page 1 of 2
  • Funder: European Commission Project Code: 101129865
    Funder Contribution: 883,200 EUR

    The vision of ACCESS is to create an integrated framework for remote attendance of (live streamed) performing arts that offers a stronger feeling of presence compared to existing live video streaming products. To this end, we will radically extend the latest advances in Deep Learning (DL)/Artificial Intelligence (AI), we will build upon leading industrial DL capacities, and we will integrate these into mature virtual reality (VR) technologies in a unique and innovative way. Specifically, ACCESS will develop a virtual environment, wherein users: 1) Will be able to watch live-streamed video of performing arts, processed in real-time so that the video appears more focused on areas of the video that the viewer looks at. For instance, a TV director usually points the camera to the person speaking; however, a viewer may want to look at the reactions of another actor. 2) Will be embodied into virtual avatars and be able to interact with a virtual companion. The companion will support short discussions with the viewer, both chit-chat and provision of information related to the presented arts show. This may be able to happen during the live streaming, while waiting for it to start, or at the end of it. 3) Will be able to interact with the virtual personas of other attendants inside a virtual foyer. These three components offer a stronger feeling of presence when attending a live show online. To achieve this vision, ACCESS pursues an intersectoral secondment program that fosters knowledge exchange between academic experts and industrial partners in the cutting-edge technological fields of AI and VR. Additionally, the participation of an arts organization dedicated to supporting contemporary culture and digital art is crucial for the success of this project, both technically as well as for implementing our communication and dissemination ambition and plans.

    more_vert
  • Funder: European Commission Project Code: 872735
    Overall Budget: 1,435,200 EURFunder Contribution: 1,435,200 EUR

    AERAS aims to develop a realistic and rapidly adjustable cyber range platform for systems and organisations in the critical healthcare sector, to effectively prepare stakeholders with different types of responsibility and levels of expertise in defending high-risk, critical cyber-systems and organizations against advanced, known and new cyber-attacks, and reduce their security risks. The platform will be a virtual cyberwarfare solution enabling the simulation of the operation and effects of security controls and offering hands-on training on their development, assessment, use and management. The platform will be based on an evidence-based approach where virtual cyberwarfare and simulations are configured according to evidence regarding: (i) the occurrence of cyber threats, and (ii) the effectiveness of the operation of the internal and external system defence mechanisms. Evidence will be collected by multi- faceted real-time monitoring and assessed according to Cyber Range Security Assurance (CRSA) models specifying potential cyber-attacks, the security mechanisms used against them, and the methods for assessing their effectiveness. The AERAS solution will be delivered at TRL-7 and validated through two different pilots in the healthcare sector: (i) a hospital medical systems pilot; and (ii) a public health systems pilot.

    more_vert
  • Funder: European Commission Project Code: 101081617
    Overall Budget: 4,936,470 EURFunder Contribution: 4,936,470 EUR

    The Integrated Assessment Models (IAMs) are an invaluable instrument for modelling climate stabilization pathways and for supporting the policy makers in taking better informed decisions. Nevertheless, the mitigation options traditionally focused on in IAMs are the supply-side measures, whereas less attention used to be paid to demand-side and food system representation, due to the inherent complexity and actor heterogeneity. CHOICE aspires to mainstream IAMs, embedding them into the lifestyle choices and decision making process of consumers, producers and actors of the Food, Agriculture and Land Use sectors. This ambition is leveraged by a more realistic representation of behaviour change and actor heterogeneity aspects in IAMs, and supported by an approach that bridges social science and marketing tools, with the aim of accelerating climate action. This approach will be supported by the large-scale adoption of CHOICE digital immersive tools, data storytelling and gamification, whose design is underpinned by notions of emotional appeals and social incentives. Using these digital enablers, CHOICE will orchestrate large scale engagement and ‘green marketing’ campaigns, that have a wide geographical and societal dispersity. Thus, starting from a bottom-up analysis of individual consumers and actors of the food supply chain, and understanding their behavior and their potential for change, CHOICE will use this information in order to consistently feed into a new generation of IAM models, that will correctly reflect the underlying heterogeneity, accounting for multiple representative consumers and actors. The IAM-generated impacts from highly influential 1.5oC-compatible mitigation actions shall highlight, besides emissions, the co-benefits of their changes in behaviour or practice in terms of health, biodiversity and food security aspects, in familiar scales.

    more_vert
  • Funder: European Commission Project Code: 101136652
    Overall Budget: 5,925,130 EURFunder Contribution: 5,925,130 EUR

    PLANET4Health provides new knowledge and tools on environment degradation and its impact on human animal and ecosystems health. The project results will support policy making process and citizens awareness on sustainable planetary health, climate and environmental policies and adaptation and mitigation strategies to natural hazards. PLANET4health will develop collaborations from a large variety of organizations from the: environmental and climate science, public health, epidemiology, veterinary medicine, social, political and economic science, engineering, law and ethics, and communication, to produce solid knowledge and tools to facilitate learning and practice on the interaction between the natural system and human health. Four tailor-made case studies will be performed: 1) One Health effects of vector-borne diseases, 2) air pollution, 3) food contamination arising from soil and water contamination, 4) mental wellbeing linked to environmental and climate stressors, in different geographical area thanks to the large project network, that will draw universal conclusions and replicable solutions to improve the predictive capability and preparedness. The consortium will produce research, technological innovation, tailored outreach and training, and policy solutions through a cross-sectorial multidisciplinary scientific collaboration in line with the transnational character of planetary health. For these aims the project will: a) collect, organize and assure open availability of new and already existing data on climate and environmental indicators linked to One Health; b) carry out analyses on data and build innovative, inter-operable and multifunctional digital prototypes; c) produce new knowledge and tools to support One Health policies by applying social science theories and involving citizens, policymakers and stakeholders; d) offer open-access data, tools and research material to public authorities for decision making and academic research for further study.

    more_vert
  • Funder: European Commission Project Code: 101178354
    Overall Budget: 8,384,300 EURFunder Contribution: 7,298,960 EUR

    The problem addressed by the OPTIMINER project is multi-faceted and significant in the European context. Europe's mining industry is grappling with the pressing need to efficiently and sustainably recover CRMs from increasingly complex and low-grade ores. OPTIMINER offers a comprehensive solution to Europe's mining challenges, encompassing five Key Exploitable Results (KERs). REMINER focuses on advanced technologies for efficient CRM recovery. These include smart ore sorters, membrane-based hydrometallurgical processes, bioleaching, and phytomining. They will comprise a marketplace of technologies that will be offered to the extractive industry through an innovative AI-enabled CRM Recovery Selector. DIGIMINER offers a digital platform for smart monitoring and control. It is enhanced with a Decision Support System and an NLP-based digital assistant, the Virtual Miner. Moreover, Digital Twins of the recovery pilot plants will be created to optimise productivity and provide with simulation capacities. ECOMINER delivers services enhancing sustainability and resilience. It boosts resource management and efficiency by designing a toolkit to optimise energy, water usage and waste valorisation, along with strategies for toxicity management and LCA. Financial sustainability is tackled by using an AI-enabled Market Observatory system to provide knowledge support and resilience to the end user. DEMOMINER showcases pilot lines for CRM recovery across different materials and geographical locations. Specifically, we are proposing 6 use cases in Spain, Greece, Poland, Finland and Chile, while focusing on CRM recovery, namely magnesium, tungsten, REE (esp. Neodymium), Copper, Cobalt and Coking Coal. GLOBEMINER promotes increased awareness and market uptake, highlighting the strategic EU-Chile strategic cooperation. Together, these components form an integrated approach to revolutionize CRM recovery, ensuring environmental sustainability and operational efficiency.

    more_vert
  • chevron_left
  • 1
  • 2
  • chevron_right

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

Content report
No reports available
Funder report
No option selected
arrow_drop_down

Do you wish to download a CSV file? Note that this process may take a while.

There was an error in csv downloading. Please try again later.