Research Projects - Vicomtech

IRAZ

AI based easy-to-read system

6GDIFERENTE

This project focuses on two of the major challenges of advanced 6G mobile communications: establishing communications between aerial devices and ensuring service continuity and quality in virtualised Edge environments in mobile situations.

MAKBY

Makby is a business proposal built on the basis of a technological asset that seeks early and profitable entry into a high-growth market, where a broad portfolio of digital solutions based on artificial intelligence can be built for the bioprinting market.

LIDAI

Creation of a joint laboratory for Digital Media & Communications, Advanced Manufacturing and Data Intelligence, combining the capabilities of the three departments.

APTRIC

Design and development of an AI-based solution that automatically analyses overhead surgical videos

RAILS

Aim to transform operating theatre care by integrating the physical world with digital planning

BARRIER

Background Anonymization for Privacy Preservation

SSOPI

Smart Scheduling Optimization for Production Industries

WellK4FIT

Image-guided endoscopy with extended and reconstructed imaging

EXPERIMENT INNITIUS

Image-guided endoscopy with extended and reconstructed imaging

ROCCA

Design, development, and integration of a set of advanced digital technologies aligned with Industry 5.0 principles to respond to emerging challenges in the field of security and defense.

PULMO3D

Development of a three-dimensional vascularised lung model that allows the simulation of drug delivery through the bloodstream to lung tumours.

THUNDER

The THUNDER project aims to build a trustworthy and responsible generative AI framework for healthcare. By developing advanced models and standardized evaluation methods, it enhances the use of synthetic data in medicine. Its main focus is on sepsis detection and management.

ADIMENDU

The objective of the project is to strengthen scientific and technological capabilities in key areas essential for advancing along the path toward Industry 4.0 and 5.0, with the aim of developing tools that can be transferred to industrial companies in the Basque Country and Gipuzkoa to enhance their competitiveness.

KUBIBIT

To explore methods, algorithms, and approaches in quantum computing and simulation that complement artificial intelligence in the Basque industrial sector. To assess the impact, maturity, and applicability of these technologies in addressing real computational challenges using advanced quantum hardware. To generate a portfolio of industrial property assets applicable to the industrial domain.

BG25

The bG25 project is a biomedical and technological research initiative focused on healthy aging. Its main objective is to develop tools for early diagnosis and prevention of diseases associated with aging, using advanced technologies such as mass spectrometry, nuclear magnetic resonance, bioimpedance, digital imaging, and analysis through artificial intelligence. The project is carried out in Euskadi and is scheduled to take place between 2025 and 2027.

XWAVE

The project's vision is that, by 2027, the XWAVE consortium will be able to present the Basque manufacturing sector with a first conceptual demonstrator of a modular and scalable manufacturing system, fully software-based and capable of being dynamically reconfigured through digital tools, without the need for any physical modifications.

PERNASVIP

The PERNASVIP project aims to enhance the autonomy of visually impaired people by developing a reliable GNSS-based navigation system. Over 18 months, it will improve a portable guiding device using technologies like EGNOS, integrating multimodal routing and validating its use in urban settings. The project targets a potential market of over 13 million users.

GRACE

The distribution of child sexual exploitation materials is an abhorrent crime. Online service providers' and users’ suspicious material detection technologies are improving. However, the huge amount of referrals collected by law enforcement agencies (LEAs) in combination with limited human resources, manual analysis and the 4 000 % increase in referrals since 2014 prevent their investigative capacity. The EU-funded GRACE project will apply proven techniques in machine learning to the referral and analysis elaboration while appropriately managing the technical, ethical and legal challenges unique to fighting child sexual exploitation. The project will use resources from EUROPOL and its nine Member State LEAs to provide early, frequent and flexible results that will be handed back to EUROPOL and Member State LEAs, helping to ensure their future technological autonomy.

AIDA

Advanced technologies are increasingly used in criminal activities. Identifying, preventing and fighting modern crime demands the implementation of pioneering technologies and methods. The EU-funded AIDA project is focussing on cybercrime and terrorism by approaching specific issues related to law enforcement agencies (LEAs) using pioneering machine learning and artificial intelligence methods. The project will deliver a descriptive and predictive data analytics platform and related tools which will prevent, identify, analyse and combat cybercrime and terrorist activities. The platform is based on the fundamental technology applied to Big Data analytics provided with AI and deep learning techniques expanded and tailored with additional crime-specific capabilities and tools. The system will be delivered to LEAs through a safe sandbox environment, improving the technological readiness level in operational conditions with real data.

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