Market

AI4GALICIA is a cross-sectoral one-stop-shop for public and private organisations across all areas of the economy, including the primary sector, manufacturing and services.

In particular (though not exclusively), AI4GALICIA’s services are geared towards the following sectors:

• Industry 4.0
• Agriculture, fisheries and food
• Biotechnology and nanotechnology
• Smart transport and infrastructure
• Construction and building
• Energy and environment

• Health and well-being
• Education and society
• Finance
• Information and communications technology
• Security and defence
• Space

The following list features some of the main highlights of AI4GALICIA’s experience on R&D projects involving Artificial Intelligence:

• Prediction system for the early detection of incidents based on machine learning techniques.
• Industrial and business monitoring system with cloud/edge computing orchestration to optimise processes using artificial intelligence techniques.
• Innovative technology solutions for the digital transformation of companies using semantic analysis and deep learning.
• Moving target tracking and efficient RDF processing.
• Big Data software product lines based on innovative applications in real-world environments.
• Innovation in automatic integration of information at point of sale.
• Identification of products on shelves using image recognition.

• Application of artificial vision techniques for monitoring of mussels.
• Expert guidance system for spreading of fertilisers in agriculture.
• Expert system for measuring forest cover using UAVs, GIS and LiDAR technology.
• Integrated management platform for fertigation and disease prevention in tomato production, using UAV-mounted remote sensing systems and AI data processing.
• Data capture and analysis technology platform for forests and plant formations using UAVs.
• Improved sustainable integrated management of microalgal blooms affecting shellfish farms.

• Advanced detection systems for eutrophication in inland bodies of water using nanosensors.
• Advanced monitoring and control systems for bathing water quality.

• Development of solutions for autonomous flight by unmanned devices (Drone, UAV, UA).
• Development of converged services within the new paradigm of air traffic management, UTM/U-Space, based on highly automated processes in congested air spaces.
• Infrastructure management system for drinking water and sanitation, using big data techniques to monitor parameters intensively and artificial intelligence to detect anomalies and predict demand.
• Applicability of high-performance semiconductors in the field of smart mobility and smart vehicles.
• Efficient Big Data processing to allow smart cities offer citizens customised mobility assistance based on static and dynamic data about the city.
• Healthy walks and efficient routes in smart cities based on massive open data (Big Data): space-time modelling.
• Prediction of monthly rate of inspection of vehicles at roadworthiness testing centres.
• Collective intelligence systems in smart platforms for port infrastructures.
• Localisation and monitoring system using computer vision for smart ports.
• Pattern recognition system using computer vision for smart ports.
• Automatic detection of road surface cracks using computer vision techniques.

• BIM-based model-checking systems for different types of users based on natural language and artificial intelligence techniques.
• In situ monitoring and sensor system to optimise formwork removal times using neural networks.

• Intelligent system for active supervision and decision-making in relation to energy balance in hospitals.
• Intelligent systems for monitoring microgrids in commercial and residential buildings.
• Machine learning to help decision-makers predict the consequences of new sustainability and energy efficiency policies by simulating social behaviours.
• Statistical modelling of vacuum unit fuel consumption.
• Artificial intelligence for more efficient heating, ventilation and air conditioning.
• Design and development of intelligent systems for energy efficient integrated monitoring and supervision.

• Automated medical test result management system using an online integrated cardiovascular risk prediction platform.
• Network for exploring the potential applications of artificial intelligence and machine reasoning in forensic science.
• Development of new theoretical results for flexible statistical inference, particularly in relation to high-volume (Big Data) or high-dimensional biomedical data.
• Development of a multi-speciality telemedicine platform combining diagnostic services in relation to cardiology, dermatology, ophthalmology and radiology.
• Network of researchers in the fields of bioinformatics and data recovery aimed at creating a new approach to big data processing for personalised medicine.
• Artificial vision techniques to improve optical coherence tomography.
• Use of logical tools to improve medical decision-making in a hospital liver unit.
• Interdisciplinary tumour committee for integrated monitoring of cancer patients.
• Analysis, design and prototyping of intelligent support systems for clinical decision-making by cardiologists.
• Study and development of automated methods for the detection of microaneurysms using digital retinography.
• AVR analysis of retinal images.
• OCT-A image analysis.

• Real-time telemetry system for surfing to monitor parameters such as speed and strength, with AI wave prediction and data transmission optimisation.
• Infrastructure for the development of synergies with highly qualified emigrants wishing to return to Spain based on qualitative reasoning techniques.
• Complex intelligent infrastructure to study the impact of urban projects using social mechanistic models.
• Expert recommender system for tourist products based on user experience.
• Application of unsupervised AI techniques for the detection of target user profiles and targets for online marketing.
• Use of AI techniques for behaviour-based authentication of applications.
• Use of natural language processing to analyse opinions expressed on social media.

• Development of scalable algorithms to group objects, and detect, quantify and select anomalies.
• Intrusion detection and forensic analysis systems.

• Development of new algorithms and techniques to increase the speed of natural language analysers.
• Integration of temporary automated reasoning into artificial intelligence under the umbrella of Answer Set Programming (ASP).
• New challenges in high-performance computing architectures and applications.

• Collective intelligence for network and system threat management, including a solution recommender system for potential threats.
• Use of neural networks for predictive maintenance management of naval vessels.
• Indoor security systems using autonomous drones based on 3D computer vision.
• Intrusion detection systems based on artificial vision for indoor security and surveillance by UAVs.

• Artificial intelligence techniques to study the Milky Way as part of the European Space Agency (ESA) Gaia project.
• Artificial intelligence techniques to work with data from the Gaia catalogue (ESA).