Applied Artificial Intelligence

Dynamic information management approach for the implementation of climate resilient adaptation packages in European regions. The IMPETUS project aims at accelerating Europe’s climate change response and turning commitments into concrete action, developing innovative measures to make its regions more resilient. Moreover, the project explores the synergies between climate change mitigation, supporting regional socio-economic growth and stability, and transition of communities to ecological sustainability and resilience. Within the project, each of the 7 bioclimatic regions of Europe – Arctic, Atlantic, Boreal, Coastal, Continental, Mediterranean and Mountainous - host seven regional test beds where innovative solutions are piloted [...]

Next generation of effective and intelligent water-related policies using Artificial Intelligence and reinforcement learning to assess the water-energy-food-ecosystem (WEFE) nexus. The NEXOGENESIS project aims to support the development of policies that manages resources effectively. To do so, the project is developing and validating a coherent cross-sectorial policy-making framework at different scales, addressing climate and socio-economic change, as well as stakeholder behaviour and transboundary (diplomacy) issues. This solution is developed for and validated by stakeholders, policy makers and academics. Using Artificial Intelligence and Machine Learning techniques, a Self-Learning Nexus Assessment Engine (SLNAE) will be developed to support [...]

Development of an innovative method of predictive maintenance in smart lighting which reacts to certain events. The PREDALIN project designs and develops a new disruptive software with the objective of improving decision-making and incorporating the concepts of Predictive Maintenance and Optimisation of Tasks in street lighting systems, as well as implementation at a “pilot” scale. The implementation of advanced systems for the detection of anomalies, predictive maintenance and optimization of resources constitutes a capable tool to minimize the associated costs and the Loss of resources (material, human and energy) derived from problems, or bad decisions, in [...]

Innovative generation traffic management for empowering CAVs integration, cross-stakeholders collaboration and proactive multi-modal network optimisation. The FRONTIER project, coordinated by Eurecat, aims to provide the network and integrated traffic management strategies of the future, considering new types and modes of transport and automated vehicles (including logical and physical requirements), the minimisation of pollution and capacity bottlenecks (including congestion and traffic jams), the reduction of accidents, and the need to reduce the cost of mobility for all users (both citizens, public authorities and businesses). On the operational level FRONTIER facilitates the transition towards resilient multimodal autonomous mobility [...]

Innovative neuroscience and Artificial Intelligence technologies applied to the design of new food products. The CIEN CONOCE project applies disruptive technologies in the field of neuroscience and Artificial Intelligence, with the aim of deepening the consumer’s knowledge and perception of multisensory stimuli, developing innovative food products adapted to their needs and preferences. The solution promoted by the project allows to better understand the consumer, their needs and their responses to a new product in different consumption contexts and, on the other hand, to analyse how these responses can be parameterised to include them systematically in a [...]

Design and development of a new generation of circular knitting machines with total and predictive quality control. The PRECATEX project implements an innovative total and predictive quality control system with the objective to allow the productivity of quality textiles and minimises defective production. This new system is achieved by using new techniques not currently implemented in the sector, such as new generation sensors and the integration of Predictive Quality Models. Eurecat, which participates in the project through its Applied Artificial Intelligence Unit, the New Manufacturing Processes Unit and the Functional Textiles Unit, is responsible for the [...]

Prediction and support system for the comprehensive management of the evolution and use of resources in pandemics situations. The PROCEED project aims to create an augmented epidemiological model to support decision-making through the collection, integration, and analysis of heterogeneous data sources (health, mobility, environment, wastewater and social). Within the framework of the project, a new system for predicting and supporting the comprehensive management of pandemics is developed and deployed, defined as a personalised infrastructure and offering tools that allow managers, clinical professionals and patients to access data, results, indicators, predictions and recommendation throughout the various stages [...]

Innovative water recovery solutions through recycling of heat, materials and water across different and multiple sectors. The iWAYS project develops a set of technologies in order to increase water efficiency through three main solutions: exhaust condensation, water treatment and waste valorisation. Other than water, the project is also focused on energy and material recovery from exhaust gases, thus improving the raw material efficiency and reducing emissions detrimental to the environment. Despite the efforts made to achieve the transition towards a more eco-friendly society and industry, the annual global extraction of materials tripled over the last 50 [...]

Development and implementation of digital and circular water use innovations to promote a sustainable use of water and advancing sustainability process of industries. The AquaSPICE project aims at materialising circular water use in the European Process Industries, fostering awareness in resource-efficiency and delivering compact solutions for industrial applications, including water treatment and reuse technologies, as well as closed-loop recycling practices. The project is also developing a cyber-physical-system controller which includes a system for real-time monitoring, assessment and optimisation of water use and reuse at different interconnected levels. The project follows a systemic approach in water management [...]

Creation of a new alliance for the digitisation of SMEs through the application of Artificial Intelligence. The AI REGIO project aims at filling three major gaps that currently are preventing regional AI-driven DIHs from implementing fully effective digital transformation pathways for their Manufacturing SMEs at policy, technological and business level. At policy level, regional smart specialisation strategies for efficient sustainable manufacturing and digital transformation are insufficiently coordinated and integrated at cross-regional and pan-EU level. AI Regio foster closer cooperation across European regions, EU and non-EU countries to make sure innovations can scale. On the other hand, [...]

New digital cloud-based genotype to phenotype platform relying on Big Data Analytics and Artificial Intelligence and using large-scale publicly available and experimental omics datasets. The GLOMICAVE project, coordinated by Eurecat, addresses the need to build systems that allow the use of primary data analytical processes and support large-scale omic experiments, thus maximising the utility of omic data at a massive level and increasing the understanding of biological systems as a whole. The new open platform developed by the project has the objective to assist experts and non-experts in identifying and understanding new links between genotype and [...]

Development of large-scale innovation applications for multiple water users and sectors at various relevant scenarios. The B-WaterSmart project has the objective to accelerate the transformation to water-smart economies and societies in coastal Europe and beyond. The project applies a large-scale systemic innovation approach to select, connect and demonstrate a tailored suite of technology, management and smart data solutions for multiple water users and sectors, and create new business models based on circular economy and water-smartness. In addition, B-WaterSmart project will develop methodologies, tools and processes to allow the safe use of water alternative sources, particularly reused [...]

The “Advanced analytics in pig farms” project applies Artificial Intelligence to livestock farms in the pig sector with the objective of increasing their production and competitiveness. Advanced data analytics has a great importance for the agri-food sector as it is a field with an important potential for generating data. The massive use of sensors to obtain data from agricultural and livestock farms requires large processing capacities and new strategies in data analytics that allow improvements in decision-making. In this sense, the project, promoted by Smart Management Systems Unit of Eurecat, aims to demonstrate to the sector [...]

Development of innovative technologies with the aim to give a response to pathogen contamination emergencies. The PathoCERT project researches and demonstrates a collection of novel, cost-effective and easy-to-use pathogen contamination emergency response technologies, tools and guidelines, which will be field validated by the first responders. PathoCERT has the objective to strengthen the coordination and response capability of first responders in handling waterborne pathogen contamination events and other potential and harmful illness spread out through water. The innovations promoted by the project are based on the management of contamination by pathogens transmitted through water, from the detection [...]

New platform based on the Internet of Things (IoT) for the habitat industries of Catalonia. The SMARTSPACE project promotes a new IoT solution with the aim of boosting the Catalan habitat industry, expanding its offer to include connected products and devices and adding differentiation for its customers. SMARTSPACE encourages manufacturers and brands in the habitat sector to introduce such an important and differential factor as the IoT in their products and facilitate their connection to the news developed platform or to others that may appear in the future. The new platform developed by the project allows [...]