Artificial Intelligence has a huge potential to transform processes, generate knowledge and open new opportunities in different sectors. From CTIC we promote and develop solutions that combine innovation, scientific rigor and real applicability to accompany companies and territories in their digital evolution in three main areas:
Artificial Intelligence
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Generative AI
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Generative AI
We develop advanced and customized Generative Artificial Intelligence solutions, applied to multiple domains and with a firm commitment to reliability and the ethics of AI.
Main lines of work:
- Text generative AI: implementation of fundamental open source models adapted to different contexts of use.
- Image generative IA: creation of visual content and immersive environments using state-of-the-art techniques.
- Intelligent assistants and digital humans: development of customized systems for specific contexts, capable of interacting in a natural and efficient way.
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Language technologies
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Language technologies
At CTIC we work on language technologies from a double perspective:
- We promote the development of advanced language models, including fundamental specific-purpose models.
- We focus our efforts on their adaptability to different languages and on the energy efficiency of the systems through Green NLP (sustainable Natural Language Processing) approaches.
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Predictive AI and simulation
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Predictive AI and simulation
We work in the development of advanced artificial intelligence modelscapable of predicting and simulating future events, integrating machine learning and deep learning techniques to support decision making in different sectors.
Lines main lines of work:
- Model explainability: development of transparent and understandable AI solutions, especially in sensitive areas such as health or public management.
- Modeling and predictive simulation: use of machine learning algorithms to analyze historical data, forecast trends and simulate future scenarios.
- Quantum Machine Learning: research on how quantum computing can enhance machine learning capabilities, accelerating processes and improving model accuracy.