Applied Artificial Intelligence

Advancing urban water quality through digital monitoring and management. QleanUp aims to develop an advanced water quality platform to improve resilience, robustness, and adaptability of urban water systems. The project’s ambition is to deliver an integrated, risk-based decision support platform for authorities and utilities to improve water quality.This platform seeks to provide decision-makers with real-time sensor data, digital tools, and water monitoring and management strategies to effectively plan, implement, and manage protection measures. By developing integrated monitoring and decision-support solutions, QleanUp addresses key barriers in urban water management. This approach improves the detection, understanding, and management [...]

Promotion of the Catalan artificial intelligence ecosystem through the organization of territorial engagement events, technology transfer activities, and the connection between business, technology, and innovation. The CAT-AI project promotes the organization of events aimed at disseminating the main challenges faced by artificial intelligence (AI), emerging trends, best practices from pioneering Catalan companies, and applied AI use cases. The initiative was created with the aim of communicating the range of initiatives and opportunities related to AI being developed in Catalonia within the framework of the Catalonia AI Strategy 2030. The project aims to accelerate the advanced digital [...]

Resilient, autonomous, and intelligent water management solution for military units operating in diverse and challenging environments. SWIFT transforms water management in military field operations through disruptive technological innovations tailored to modular, mobile camps. The project replaces traditional, centralised, and energy-intensive methods—such as bottled water supply and reverse osmosis—with a circular, integrated system for water reuse and recycling. Focusing on advanced technologies like graphene-based filtration and photocatalytic processes, SWIFT ensures safe and clean water while reducing energy demands. It also emphasises the coupling of water and energy systems for improved efficiency and resilience, including demand-side energy management. [...]

Revolutionising data management across industries with advanced AI. PLIADES advances the state of the art in data space reference architectures, driving a significant shift in the use of data as a key enabler of technological progress in artificial intelligence and robotics. The project explores innovative AI-enabled tools to support full lifecycle integration of data, both within and across data spaces. PLIADES incorporates sustainable data creation methods—compression, filtering, and normalisation—enabling efficient and greener data storage. It reinforces data privacy and sovereignty using standards and decentralised protocols. Data sharing is revolutionised through AI-based brokers and connectors using extended [...]

Technological and innovative entrepreneurship program in Girona. Benestar i Salut Girona Hub supports entrepreneurs through specialised training and mentoring to promote the creation and growth of companies based on innovation, technology and new business models in the field of well-being, which includes food, health and sports. This progam promotes entrepreneurship in the wellness sector, based on innovation and technology and supports the creation of new companies and/or new products and services through levers, platforms, support and training that help to respond to challenges, needs and opportunities present in the territory. The program offers 100 hours of [...]

Technological and innovative entrepreneurship program in Lleida. EMPRÈN BIO 4.0 promotes technological and innovative entrepreneurship as a driver of new sustainable business models in Lleida. The project boosts the economic and business fabric through the bioeconomy and its value chains: agri-food, biomaterials, bioenergy, biofertilizers, biofuels, bioproducts, bioplastics and the economic and social valorisation of ecosystem services. EMPRÈN BIO 4.0 supports entrepreneurs through specialised training and mentoring to promote the creation and growth of companies based on innovation, technology and new business models in the field of bioeconomy. The objective is to promote the valorisation of renewable [...]

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 [...]