Machine Learning and Deep learning
Machine learning / deep learning is the practice of using algorithms to collect data, analyze it, and learn from it to make a prediction. Programmers need to refine the algorithms that specify a set of variables to be as accurate as possible in a particular task.
These are the services that our research groups can develop. For customized information on the services, please contact us.
| Areas of service | Applications of the service | Scientific infrastructure |
| Planning, dimensioning, control and optimisation of 5G/6G and IoT networks | Support for operators and companies in the deployment of services and applications with different restrictions (eMBB, URLLC, mMTC) | WiComTec Laboratory |
| Control and improvement of energy and spectral efficiency in 5G/6G networks | ||
| Cooperation between networks, cognitive radio, control of resources and active cells | WiComTec Laboratory | |
| Deep reinforcement learning for protocol optimisation in 5G/6G networks | ||
| Recommendation and selection of networks, optimisation of IoT protocols | ||
| Research of machine learning tools for planning of optoelectronic networks and devices | Development of machine learning tools for optical networks and optoelectronic devices | |
| Diagnosis using signals or images of faults and material properties | ||
| AI-based techniques for object and sound detection | System to detect obstacles at crossings and generate alarms, speech recognition systems and actuation of IoT systems | |
| Biotechnology and biomedicine | Analysis and optimisation of biological or mechanical processes and systems | |
| IA-based predictive models in the health area | ||
| Analysis in bioinformatics (metabolomic, transcriptomic) | ||
| Biomedical signal analysis | ||
| Computer vision and augmented reality | Development of computer vision techniques, augmented reality, deep learning with applications for autonomous driving, analysis of human movement, treatment of medical images, etc. 3D scanning of parts and people | Kinematics and Robot Design Laboratory, Perception and Manipulation Laboratory, Mobile Robotics Laboratory |
| Industrial and service robotics | Planning of robot tasks and movements, robot programming, specific applications of service robotics, dexterous manipulation | IOC-SIR Robotics Laboratory |
| Generation of low-order physical models to generate massive databases to train deep learning models | Renewable energies: solar thermal, wind, photovoltaic. Efficient use of energy resources: energy pooling, residual energy, heat exchangers; smart and energy efficiency in industry, buildings, cities; aeronautics, space and health sciences. | Calculation cluster and simulation and design software - CTTC |
wireless communications, cellular mobile networks, 5G, 6G, IoT, artificial intelligence, communication networks with drones optical networks, metro-core networks, 5G, 6G, optoelectronic devices, photonics deep reinforcement learning, optimisation of IoT protocols, 5G, 6G network selection durability, damage, structures, image, diagnosis, cells neuronal networks, deep learning, CNNs, 3D scanning, augmented reality robotics, programming, robotic manipulation, dexterous manipulation, intelligent robotics renewable energies; energy efficiency in industry, buildings and cities; heating, ventilation, air conditioning and cooling; thermal systems and equipment (energy storage, use of residual energy, heat exchangers, etc.); thermal management of equipment and current, hybrid and electric vehicles (urban and goods transport, rail, aeronautic and space sectors): health technologies
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