Deep learning and Artificial Intelligence
Deep learning and Artificial Intelligence
In this field, ITCL has been developing machine learning technologies, Big Data and Data Science, neural networks or artificial intelligence for more than ten years, and in the last three years of Blockchain, for the massive handling of data of heterogeneous origin. The objective is to enhance the value of large volumes of information from different environments, and facilitate their exploitation as structured information in an innovative business model driven by data or ‘data-powered’.
This line of research allows us to take on the development of knowledge and technologies that contribute to filling the gaps that may exist between the needs of end users and the possible existing enabling technologies.
In a specific and non-exclusive way, we work in technological fields such as virtual and augmented reality, computer vision, automatic speech recognition, recognition of audio signals and mobility applications, industry (modelling systems, simulation and prediction of the behaviour of machines and manufacturing processes, with the development of virtual twins that allow their design and subsequent optimisation).
Technologies in which ITCL works:
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Machine learning
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Big Data
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Data Science
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Neural networks
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Artificial Intelligence
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Data powered
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Blockchain
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Virtual Reality
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Augmented Reality
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Computer Vision
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Modelling
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Simulation
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Prediction of machine behaviour
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Manufacturing Processes
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Virtual cufflinks
Projects
IBERUS – Biomedical Engineering Technology Network applied to degenerative pathologies of the neuromusculoskeletal system in out-of-hospital clinical settings
IBERUS is the name of the Network of Excellence of the 4 Technology Centers (CCTT) that have defined a Strategic Program with the aim of stimulating the Cervera 15 Priority Technology, framed among the technologies for health, both in the research and development activities of the centers themselves and in the business and clinical context
Duration: 2021 - 2023
CEL.IA – cErvera Consortium for the Leadership of R&D in Applied Artificial Intelligence
CEL.IA is a strategic research project in cooperation between several technological centers that aims to join efforts to develop a "Toolkit" or complete offer of solutions based on virtual and augmented reality, artificial vision and natural language processing, to facilitate the effective incorporation of Artificial Intelligence in human-machine interfaces.
Duration: 2021 - 2023
TEEP – Research in Innovative Technologies for the Optimization of Energy Efficiency in Production Processes
To achieve the optimization of energy efficiency in companies with high consumption in their production processes through industrial research using innovative technologies to study the energy process of the processes, detect and correct anomalies and replan the production process and its products.
Duration: 2021 - 2022
ALMATIC – Definition and development of algorithms for data analysis platform for MAnTenTenTing, Predictive Quality and health problems.
Research of a data analysis platform on which a Smart Data system will be deployed to process general purpose industry information and on which algorithms based on advanced AI techniques will be studied to identify potential problems in the studied sectors of interest.
Duration: September 2021 - September 2022
Mindtooth – Wearable device to decode the human mind by means of neurometrics for a new concept of intelligent interaction with the environment.
Mindtooth will enable truly "intelligent" and "cooperative" interaction between human actors (e.g., car drivers, airplane pilots, factory workers) and the devices around them through the use of brain signals.
Duration: 2020 - 2022
Ready Twin – Innovative Solutions
Investigación sobre diferentes tecnologías, técnicas, herramientas, metodologías y conocimiento destinados a desarrollar soluciones tecnológicas innovadoras para la generación y explotación de Gemelos Digitales (Digital Twins).
Duración: Julio 2019 - Junio 2023
NeuroCPS4 Maintenance – Neuromorphic Anomaly Detector
NeuroCPS4Maintenance is a project that aims to develop and demonstrate a neuromorphic edge anomaly detector that is robust against conceptual drift, alerts to faults early and provides fast, real-time response for predictive maintenance applications in high-demand industrial scenarios (industrial press). This anomaly detector will be based on deep learning algorithms (LSTM) and implemented on system on chips (SoC).
Duration: March 2021 - 2022
Al4Labour – Restructuring of the Population through AI
Technologies based on data processing are changing not only manufacturing standards, but also people's daily lives. This can ensure concentration on more strategic or more analytical work.
Duration: 48 months
HOSMARTAI – Intelligent Hospital Development
The HosmartAI project will create a common open integration platform, with the necessary tools to facilitate and measure the benefits of integrating digital technologies (robotics and AI) into the healthcare system.
Several large-scale pilot projects will make it possible to evaluate the various improvements in several hospital environments:
Medical diagnosis, surgical interventions, disease prevention and treatment, rehabilitation support and long-term care.
Duration: 2021 - 2024
FitDrive – Control Device for Drivers
FitDrive is a project whose purpose is to minimize the risk of accidents through the use of a monitoring device for drivers. The goal of determining fitness to drive is to strike a balance between minimizing driving-related road safety risks to the individual, the community, maintaining the driver's lifestyle and their employment-related mobility independence.
Duration: 2021 - 2024
Smart Contract Data – Intelligent system
Intelligent system for the management of opportunities in the procurement of works and services - National Project File: AEI-010500-2020-247 The SMART CONTRACT DATA project is based on the need of companies in the housing and construction sector to improve their...
Telebot – TELE-roBOTs operated through Virtual Reality interfaces
Telebot - VR aims to narrow the sensory distances an operator encounters when controlling a robot remotely through simulation and virtual reality interfaces, and to promote vision and control over robotic systems and joints.
Duration September 2020 - December 2022
Neuromórfico EG – Neuromorphic systems for processing in EdGe Computing
The project experiments on new neuromorphic systems for processing in Edge Computing, through concrete technological developments for general application in industrial environments, capital goods, and in cybersecurity, in Intrusion Detection Systems (IDS).
Duration: 2021 - 2023
Sudoe Hospital 4.0 – Intelligent energy management in hospital buildings
Hospitals are buildings of continuous use, which have very specific air conditioning requirements in their different spaces and are conditioned to a climatological evolution characteristic of the Sudoe territory. Inefficient management or their inadequacy lead to incensive costs, avoidable emissions and inefficiency of public investment in their construction and maintenance.
Duration: October 2019 - March 2022
INUNDATIO – Automation of flood risk modeling in headwaters through Artificial Intelligence and BigData.
INUNDATIO ofrece un modelo de sistema de gestión de avenidas súbitas (flash floods) en cabeceras de cuenca basado en su caracterización hidromorfológica, la toma contínua de datos hidrometeorológicos (lluvia + caudal), la comparación con datos históricos, la simulación de escenarios de riesgo y el análisis de la vulnerabilidad para las vidas humanas y los elementos materiales.
Duración: Octubre 2019 - Abril 2022
ERAES – Autonomous Rural Spaces for Sustainable Energy
David Gonzalez - R+D+i Project Technician
david.gonzalez@itcl.esDinamizar the rural areas of Castilla y León with potential for territorial development through endogenous resources.
Duration: 2020
Licitia – Intelligent tender management platform
Aims to develop a collaborative way of a first non-marketable prototype, but susceptible to testing in real environments, of an intelligent tender management platform, which can increase the competitiveness of companies in Castila and León.
Duration: 6 months (2020)
Fandango – Advanced automotive component manufacturing through reliable and secure digital twins
Fandango is aimed at improving operational efficiency in the automotive components sector by acting on the visibility of information in the supply chain, maximizing product quality and optimizing maintenance processes. It will employ the use of digital twins to detect the occurrence of problems earlier and predict outcomes more accurately than pure simulation models.
Project duration: 2018 - 2022
Productio – Industrial improvement through enabling technologies
Research on various technologies, techniques, tools, methodologies and knowledge aimed at increasing the operational capacity of industrial processes (Overall Equipment Efficiency - OEE) within the framework of the connected industry. The project has enabled the adoption of productive and maintenance solutions in the connected industry by implementing digital security.
Duration: 2016-2020
Ciberfactory – Technology enablers in cyberphysical and virtual environments for the industry of the future
The Technological Enablers project deals with the industrial research of enabling technologies to increase the technological capacity of the ITCL, and its competitiveness in the technological sector that will facilitate us to bring the experiences closer to the regional industrial interests.
Duration: 2019 - 2020
