TECHNOLOGICAL CAPABILITIES
DIGITAL INFRASTRUCTURE
BIG DATA AND DATA ANALYSIS
- Management and processing of large quantities of data in real time
- Parallel distributed processing
- NoSQL database
MOBILE TECHNOLOGIES
- 5G/6G
- Antenna Systems
- New processors
- Cognitive networks
- Satellite communications
- Mobile IoT
- Geolocation and location-based services
- LoRa Mesh
- Satellite remote sensing (terrestrial, oceanic)
CYBERSECURITY
- Privacy and data protection
- Security of infrastructure, networks and communications
- Development of digital identity systems
- Biometry and encryption
COLLABORATIVE INTERNET
- Integration of social networks
- P2P distribution systems
- Multimedia information systems
AUTOMATION
MANUFACTURING
- Smart monitoring and optimisation of industrial and logistics processes
- Improvement in industrial communications
- Quality control through computer vision and sensors
- Water management systems
- Additive manufacturing
ARTIFICIAL INTELLIGENCE
- Edge computing
- Machine learning
- Modelling
- Neural networks
- Computer vision
ROBOTICS
- Speech synthesis and automatic language processing
- Vision perception and control systems and guide robots
- Automated customer services
- Smart, cowork and assistance robots
e-AGRICULTURE
- Precision agriculture (smart farming)
- Agriculture 4.0
USER ORIENTATION
IMMERSIVE TECHNOLOGIES/USER EXPERIENCE
- Virtual reality
- Augmented reality
- Metaverse
DIGITAL HEALTH / eHEALTH
- Mobile devices / wearables
- Apps for monitoring of biomedical signals and “remote care” services
SMART CITIES
- Simulation and optimisation of energy efficiency
- Traffic management and smart resources
- Waste reduction
APPLICATION SECTORS
AERONAUTICS
AUTOMOTION
INFRASTRUCTURES
HEALTH
MANUFACTURING
TEXTILES
RELATED PROJECTS
- Since the early 21st century, the agricultural sector has faced significant challenges, such as the increasing demand for quality products and a lack of generational replacement. In this context, the agri-food sector is compelled to follow the example of other industries and prioritise digitalisation and automation to ensure sustainability and competitiveness.
- RootBot aims to develop and demonstrate an autonomous robotic electromagnetic detection system equipped with ground-penetrating radar (GPR) and advanced navigation technologies to map the root systems of fruit trees and soil moisture. This project seeks to optimize agricultural resource management, particularly water, and contribute to more sustainable farming through the use of innovative technological tools.
- Energy consumption in training and inference of artificial intelligence (AI) models, such as large language models (LLMs) like GPT-4, has become a critical challenge due to its environmental impact and the costs associated with high-performance computing (HPC). The energy required to train these models and interact with them increases significantly as the models grow in size and complexity.
- The adoption of 6G applications will have a positive impact on a broad range of innovations set to transform our society in the future. These include autonomous vehicles that reduce accidents, more efficient emergency services, and connected drones that expedite the delivery of medical supplies between healthcare centres, to name a few examples. These and other emerging solutions continue to evolve, driven by the constant technological advancements in communications. The implementation of these new technologies requires a process that inevitably involves testing in environments as true to real-life conditions as possible.
