Arctur Računalniški inženiring
SMASH Associate partner
Arctur is a Hi-Tech SME and the main private-owned supplier of HPC (High Performance Computing) services and solutions in CEE. Arctur has its own HPC and Cloud Computing infrastructure in a distributed, high-redundancy environment. The company has extensive experience in development and deployment of complex IT solutions (e.g. AI, Blockchain, HPC…) especially for Small and Medium-sized Enterprises (SME) in various sectors: from manufacturing to tourism, cultural heritage, and recently, health and medicine.
Arctur has extensive experience in providing HPC computing power and expertise to industrial users, focusing specifically on providing such services to SMEs. Furthermore, Arctur has considerable experience in collaboration and coordination of European and national funded projects. In the past 15 years, Arctur has and is still contributing to numerous Horizon Europe, H2020, Digital Europe, Interreg, Erasmus+, EMFF and national projects and was a partner in FP7 projects.
Below are listed some of the projects being carried out at Arctur:
NOPSI is a research project that integrally addresses the issue of organisational maturity of public organisations to open public sector data (PSD) and pursues 3 objectives: a systematic and integrated analysis of the normative framework of PSD, the development of a digital interactive tool and the development of a systematic framework for the custodianship of PSD as a key factor to foster investment in organisational maturity at the level of individual organisations.
ENACT is developing a Cognitive Computing Continuum (CCC) to address the needs of hyper-distributed data-intensive applications. The CCC will provide optimal resource management, dynamic scaling, elasticity, and portability. ENACT will also develop an Application Programming Model (APM) to support the development of distributed platform agnostic applications. ENACT develops cutting-edge technology solutions to realize a Cognitive Computing Continuum (CCC) that can address the needs for optimal resource management and dynamic scaling of hyper-distributed data-intensive applications. The project brings visibility to distributed edge and Cloud resources by developing Dynamic Graph Models and uses AI and Deep Reinforcement Learning to suggest optimal deployment configurations. An innovative Application Programming Model (APM) will support the development of distributed platform agnostic applications. ENACT CCC solutions will be validated in 3 use-cases with challenging resource and application requirements.
The EXCELLERAT P2 project aims to address the increasing complexity of scientific and development endeavours. Its main focus is Exascale computing, which will solve highly complex and costly engineering problems, and create enhanced technological solutions even at the development stage. The EXCELLERAT project offers a single point of access for expertise on how data management, data analytics, visualisation, simulation-driven design and Co-design with HPC can benefit engineering on Exascale level.
The main objective of the QUSTom project is to introduce a new medical imaging modality that can complement or even replace current modalities that use X-ray due to its safety, scalability, and quality. Ultrasound imaging can be deeply enhanced through algorithms developed in the field of geophysical imaging. Such algorithms, based upon adjoint-state modeling and iterative optimization, provide quantitative images of human tissue with very high resolution.
The Classica project validates AI-driven imaging and decision support in real-time cancer surgery, utilizing breakthrough research in fluorescence and perfusion analysis. The goal is to develop an operating room-standard tool, validate its performance, address obstacles, and create clinical guidelines for adoption