{"id":24578,"date":"2023-06-14T15:51:36","date_gmt":"2023-06-14T13:51:36","guid":{"rendered":"https:\/\/www.ita.es\/digital-technologies\/"},"modified":"2024-04-26T12:48:15","modified_gmt":"2024-04-26T10:48:15","slug":"digital-technologies","status":"publish","type":"page","link":"https:\/\/www.ita.es\/en\/rdi\/digital-technologies\/","title":{"rendered":"Digital technologies"},"content":{"rendered":"\n
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Presentation<\/h2>\n\n\n\n

Our experience, as well as our continuously updated knowledge of digital technologies, allows us to address and solve complex challenges<\/strong> in different fields and sectors. With Artificial Intelligence<\/strong> applied to data, text and image; IoT technologies, Digital Twins, Blockchain and optimization technologies<\/strong> based on exploiting information, we help companies with technologically advanced solutions adapted to their needs.<\/p>\n\n\n\n

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    Work teams<\/h3>\r\n \r\n <\/div>\r\n
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    1. Digital Transformation and Industrial Processes<\/h4>\r\n <\/div>\r\n
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    The Digital Transformation and Industrial Processes team develops activities aimed at promoting the digitization of companies to improve operational management from the operational, economic and environmental point of view.It develops innovative digital solutions for the improvement of production and logistics processes from different types of models (mathematical, statistical, operational research, virtual simulators or artificial intelligence) to generate services that help decision making in companies.Within this team, technological solutions are developed such as:<\/p>\n

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    • Demand forecasting systems<\/li>\n
    • Solutions for Sales and Operation Planning (S&OP)<\/li>\n
    • Production planning systems<\/li>\n
    • Route optimization systems<\/li>\n
    • Algorithms and virtual models for warehouse management improvement<\/li>\n
    • Digital twins of industrial plants (Smart Manufacturing)<\/li>\n
    • Digital twins of multimodal transport networks<\/li>\n
    • Digital twins for urban mobility (passenger, freight, eCommerce)<\/li>\n
    • Predictive maintenance systems<\/li>\n
    • Collaborative logistics solutions through the use of data spaces<\/li>\n
    • Development of Smart Contracts based on Blockchain technology.<\/li>\n<\/ul>\n

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      Big Data and Cognitive Systems<\/h4>\r\n <\/div>\r\n
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      Within digital technologies, the Artificial Intelligence, Big Data and Cognitive Systems group is made up of 35 people. This group aims to develop complex software solutions for data processing, based on Artificial Intelligence and that generate knowledge in real time to solve Big Data business problems.<\/p>\n

      The Group’s mission is the development of data processing software solutions, supported by Artificial Intelligence (Cognitive Systems), generating knowledge in real time to solve business problems. The research group is focused on 4 main areas: Text to Knowledge, video to Knowledge, data to Knowledge and finally infrastructures. The technologies involved in each area are shown below:<\/p>\n

      The objectives have been divided into different technological areas in order to develop knowledge in the following specific points:<\/p>\n

      Data to Knowledge:<\/strong> Objective to work with data and extract knowledge from it.<\/p>\n

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      • Descriptive analysis, automatic data generation and evaluation by Machine Learning<\/li>\n
      • Prediction of future trends with supervised Deep Learning and Machine Learning algorithms.<\/li>\n
      • Identification of behaviors based on pattern recognition through unsupervised learning with clustering algorithms, variable reduction, analysis of relevant variables.<\/li>\n
      • Reinforcement Learning for unsupervised learning and implementation of this algorithm in multidisciplinary environments.<\/li>\n
      • Deep Learning for anomaly detection in multivariate evolutionary series<\/li>\n
      • Knowledge extraction from models (explainability and model transparency)<\/li>\n
      • Generation of data-driven models<\/li>\n
      • Parameter optimization using algorithms and frameworks for hypertunning of models<\/li>\n<\/ul>\n

        Text to Knowledge<\/strong>: Objective to work with texts and extract knowledge from them.<\/p>\n

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        • Language Models (Large, language models llm)<\/li>\n
        • Transformers for document structuring<\/li>\n
        • Automatic Content Generation (Generative AI)<\/li>\n
        • Automatic and semi-automatic ontology generation<\/li>\n
        • Quality of knowledge models and networks<\/li>\n
        • Automatic generation of knowledge networks<\/li>\n
        • ASR and TTS models<\/li>\n
        • Opinion, sentiment and emotion analysis<\/li>\n
        • Chatbots<\/li>\n<\/ul>\n

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          Distributed Cloud Infrastructure (AWS, Google, Azure, ovh , alibabacloud)<\/p>\n

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          • Data Spaces: IDS, FIWARE<\/li>\n
          • Serverless architectures<\/li>\n
          • Kubernets and similar<\/li>\n
          • Spark knowledge<\/li>\n
          • Reporting Tools<\/li>\n
          • No-SQL databases<\/li>\n
          • Data processing tools<\/li>\n
          • Edge computing, for Deep Learning and advanced information processing<\/li>\n<\/ul>\n

            Video to Knowledge<\/strong>: Objective to work with images and videos and extract knowledge from them.<\/p>\n

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            • Understanding the video<\/li>\n
            • Deep Learning Architectures for Video Analytics<\/li>\n
            • Combination of machine vision algorithm + Deep Learning<\/li>\n
            • pattern identification<\/li>\n
            • Detection of anomalies and faults using Deep Learning techniques<\/li>\n
            • Advanced object segmentation based on Deep Learning<\/li>\n
            • Advanced feature extraction<\/li>\n
            • Object tracking in images<\/li>\n<\/ul>\n

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              3. IoT and Electronic Product<\/h4>\r\n <\/div>\r\n
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              The IoT and Electronic Product team is formed by technicians with a high level of experience in the design and development of electronic product in industrial applications, communication networks and wireless connectivity.
              \nComprehensive IIoT and IoT development services are performed with the ability to deliver all necessary components of a given solution, including devices with wireless communication, integrated security and cloud connection capabilities.
              \nThe services provided by this team around the development of IoT solutions are:<\/p>\n

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              • Conceptual design and prototyping of devices: selection of microprocessors\/microcontrollers, sensors, actuators and electronic components. Design and manufacture of enclosures using 3D printing.<\/li>\n
              • Hardware design, development and integration: design and fabrication of conventional rigid printed circuits and hybrid-flexible circuits using additive printing of conductive inks.<\/li>\n
              • Firmware development: architecture and program code design in multiple languages. Implementation of functionalities to hardware devices and integration with IoT platforms and mobile applications for data capture and device control.<\/li>\n
              • IoT platforms: implement solutions in the cloud. Ad-hoc platforms and experience in AWS, Google Cloud and Microsoft Azure commercial platforms.<\/li>\n
              • Cybersecurity: application of security mechanisms at the device and communications layers in the face of different types of threats so as not to compromise security and privacy requirements.<\/li>\n
              • Solution architecture: provide value-added suggestions for product enhancement and\/or system digitization.<\/li>\n<\/ul>\n

                The typology of the team’s projects – IoT and Electronic Product – is focused on research, design and development of solutions for the device and communications layers of IoT ecosystems, covering everything related to equipment connectivity and including optional detection, activation, and data capture, storage and processing capabilities, guaranteeing security and privacy requirements.
                \nServices provided in the development of IoT solutions:<\/p>\n

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                • Conceptual design and prototyping of devices: selection of microprocessors\/microcontrollers, sensors, actuators and electronic components. Design and manufacture of enclosures using 3D printing.<\/li>\n
                • Hardware design, development and integration: design and fabrication of conventional rigid printed circuits and hybrid-flexible circuits using additive printing of conductive inks.<\/li>\n
                • Firmware development: architecture and program code design in multiple languages. Implementation of functionalities to hardware devices and integration with IoT platforms and mobile applications for data capture and device control.<\/li>\n
                • IoT platforms: implement solutions in the cloud. Ad-hoc platforms and experience in AWS, Google Cloud and Microsoft Azure commercial platforms.<\/li>\n
                • Cybersecurity: application of security mechanisms at the device and communications layers in the face of different types of threats so as not to compromise security and privacy requirements.<\/li>\n
                • Solution architecture: provide value-added suggestions for product enhancement and\/or system digitization.<\/li>\n<\/ul>\n

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                  R&D Lines<\/h2>\n\n\n\n

                  Of the eleven lines that make up the Institute’s Scientific-Technological Plan, these two are the ones related to the activity of the Digital Technologies team:<\/p>\n\n\n\n

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                  \r\n L7<\/span>\r\n

                  AI, Big Data and Cognitive systems<\/h3>\r\n <\/div>\r\n
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                  Development of multi-sector solutions, with learning capabilities and knowledge extraction from data, texts and videos, on platforms, scalable and in real time. The focus over the next few years will be on artificial intelligence.<\/strong><\/p>\n<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n \r\n

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                  \r\n L8<\/span>\r\n

                  IoT, Blockchain and Algorithmic Business<\/h3>\r\n <\/div>\r\n
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                  Digital technologies to improve efficiency in operations management and process optimization . It is oriented to industrial processes, logistics processes and supply chain. The activity is focused on increasing knowledge, integration and extension towards the digital twin concept and its potential application in mobility, energy management, agro-industry and healthcare.<\/strong><\/p>\n<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n \r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/section>\r\n \r\n\r\n \r\n