Applied Artificial Intelligence

DiTEC researches and develops technological solutions based on data quality and new generative AI algorithms for the creation of innovative Digital Twins as key enablers of the autonomous factory and Industry 5.0. In the current context of industry, characterised by increasing complexity and competitiveness, the ability to innovate and optimize production processes is essential. Advances in digitalisation and the adoption of digital enablers such as the Internet of Things and AI have allowed the development of the digital twin: virtual replicas of physical systems that can simulate, predict and optimise their behaviour. The digital twin is [...]

Revolutionising sustainability in additive manufacturing processes. REPAM addresses inefficiencies in additive manufacturing, focusing on enhancing material recycling and optimising processes for greater sustainability. Current production methods, such as metal powder production, suffer from low yields (30-50%), with significant energy losses due to remelting and limited recycling options for advanced alloys. REPAM transforms the entire process chain through innovation, from material production to recycling and reuse. The project develops advanced sensors and artificial intelligence models to monitor and optimise powder production processes, enabling real-time process control and the use of a broader range of recycled materials. Scrap [...]

Empowering quantum computing with artificial intelligence (AI). QIA develops AI-based tools aimed at optimising quantum algorithms and addressing hardware limitations associated with quantum computing. Specifically, the project optimises computational resources for algorithms based on gates and tensor networks, with the help of AI to improve the execution of these algorithms through metrics and reduce operations necessary for their implementation. AI-based tools are also developed for the design, control and mitigation of errors in quantum devices based on superconducting technology, especially in flux kubits. Finally, an important part of the project is dedicated to the research of [...]

Building a water-smart economy and society. The CIRSEAU cluster consists of five sister projects granted within the Horizon 2020 call topic CE-SC5-04-2019 “Building a water-smart economy and society” demonstrating the feasibility of a water-smart economy and society, including B-WaterSmart, Wider Uptake, Rewaise, ULTIMATE and WATER-MINING. These five projects share the objectives of identifying alternative water sources, reducing water consumption, and increasing use efficiency, recovering valuable materials from wastewater, producing carbon-free water cycles, and increase their resilience in the face of climate change. The initiatives of the CIRSEAU alliance help mobilise water-related investments and synergies with other [...]

Automation towards multimodal transportation and integration of freight. The AutoMoTIF project develops strategies, business and governance models, regulatory recommendations and synergies that enable the integration and interoperability of automated transport systems and solutions with a view to the operational automation of multimodal cargo flows and logistics supply chains in the intra-European network. Based on the current challenges and gaps in the automated and seamless logistics chain, we work with simulations on real scenarios and in different geographical locations. The results of the scenarios will be used to establish a master scenario that addresses the end-to-end delivery [...]

Hybridization of smart energy networks, from components to system. The HIBRIDe project reinforces technological capabilities for sustainable energy autonomy, addressing the challenge of generating an innovative technological solution that allows optimization, hybridization, storage and network management for the integration of renewable energies. HIBRIDe responds to the challenge of optimizing the design and comprehensive management of a local energy network with the research and development of advanced digital tools for optimal planning and operation of hybrid networks; that is, with coupling between electrical and thermal energy, to maximize the use of primary energy from different renewable energy [...]

Artificial intelligence to reuse wastewater and nutrients in the agricultural sector. The iRAIN project investigates an innovative advanced water resource management system to optimize water resources applied in precision agriculture. iRAIN's system combines new treatments for water regeneration and nutrient recovery from urban wastewater with hybrid technologies based on monitoring, artificial intelligence and spectroscopy by fusing data from satellites, drones , agricultural robots, sensor networks and smart multispectral cameras. The initiative's work plan is divided into four activities: research into water regeneration techniques and nutrient recovery for agricultural use; research into advanced techniques for monitoring water [...]

Innovative collaborative initiative among three leading Spanish technological centres in the field of quantum computing. The ARQA project advances research and development of quantum applications for the business sector, thereby tackling challenges that traditional computing cannot currently resolve. The Cervera ARQA Network, formed by the Technological Center for Information and Communication Foundation (CTIC), Eurecat, and ITG, constitutes a joint effort to boost the transfer of quantum technologies to businesses, fostering a national level collaboration that facilitates the integration of these advanced technologies into the business fabric, and thereby, into society. This project not only seeks to [...]

Autonomous manufacturing process with artificial intelligence. The AMP-AI project drives a solution that allows small and medium-sized industries to optimize online manufacturing processes using artificial intelligence (AI) and increase their efficiency, reducing energy consumption and raw material waste. AMP-AI's solution is based on a new methodology or pipeline of machine learning (ML) algorithms that run iteratively within the cycle time of the production process, combining optimal autonomous control agents and process modeling through AI-based surrogate models. This solution requires a smaller volume of experimental data to create AI models of the process and optimal autonomous control [...]

Reliability and effectiveness of integrated alternative water resources management for regional climate change adaption. The RECREATE project improves the resilience of water supplies and protects the status of natural water resources by facilitating the assessment and inclusion of Alternative Water Resources (AWR) in water management planning for water-scarce regions. RECREATE will compile existing information and will use existing and newly developed models and tools to support the evidence-based, quantitative assessment of different water management strategies under different socio-economic scenarios and climate change projections. The project will improve the cost efficiency of selected AWR solutions by demonstrating [...]

Design, development and implementation of an intelligent terrain interpretation system based on Machine Learning for underwater studies. The Vibrocorer project develops an innovative system incorporating AI that allows a more detailed and efficient characterization of marine soils and subsoils. The main objectives of Vibrocorer are: The creation of a submersible sensor adaptable to any Vibrocorer (VC) for challenging marine environments up to 500 meters, guaranteeing simple installation and versatility independent of the VC model. Development of an electronic system that displays and stores data in real time through a reliable and robust communication covered - submerged [...]

Development of an Innovation Booster Package to accelerate and foster transformation through Nature-Based Solutions (NBS). The NATALIE project addresses the risks posed by climate change and its impacts and advances ecosystem-based adaptation in Europe. To this end, NATALIE offers 25 innovative solutions through cocreation processes, financial innovation, stakeholder participation, modeling, testing, monitoring and evaluation mechanisms, pre-feasibility studies and evidence-based results. NATALIE demonstrates 18 Nature-Based Solutions in eight pilot sites located in five different biogeographic regions of Europe. Its replication is studied in four follower sites located in the same biogeographic regions. Eurecat participates in the project [...]

Web portal to boost shift to rail in freight transport. The ESEP4Freight project provides freight customers with an overview of the available rail freight services in Europe via a web platform. This platform is built on an interactive map and makes it possible to identify the flows of goods with a higher potential for using the train as a mode of transport. On this interactive map, the platform offers different modules, such as an external costs calculator (CO2 consumption, noise costs, congestion...), a schedule viewer offered by the main European operators, calculation of multimodal routes being [...]

Creation of a cyber-physical device that monitors and optimizes the plastic injection process. The DASIT project develops a cyber-physical prototype that allows real-time and remote monitoring of the injection process, obtaining direct data from sensors embedded in the mould and indirect data through a device connected to the mould. The device powered by DASIT is energy efficient, by integrating an energy harvesting system, and has a geolocation system through the implementation of advanced technologies to track the location of the molds. It is a cloud-connected wireless device with a low-cost approach. In addition, data quality validation [...]

New pathway for waste valorisation and green hydrogen production. The HYIELD project develops a Waste to Hydrogen demonstration plant that, from waste, will allow the production of hydrogen. HYIELD aims to unlock the potential of the 300 million tons of waste produced by Europe and turn it into 30 million tons of green hydrogen. During the 4-year project, novel technologies and processes will be integrated to efficiently and robustly convert biogenic waste streams into high purity green hydrogen at a very competitive cost, to demonstrate its application to help decarbonise different sectors, including shipping, aviation and [...]