National Competence Center
The German Oncology Center (GOC), a prominent medical center in Cyprus, sought to enhance its capabilities in analyzing large volumes of Magnetic Resonance Imaging (MRI) data, crucial for both patient care and medical research. The complexity and size of these datasets often exceeded the capacity of standard desktop or workstation computers, limiting the center’s ability … Read more
Medochemie Ltd., is a global leader in the production and distribution of generic pharmaceutical products. When it comes to product development, it faces a common but significant challenge: the time-consuming literature review process involved in product development. To overcome this hurdle, Medochemie turned to AI-driven solutions, and our research institute proposed a cutting-edge Retrieval-Augmented Generation … Read more
We recently had the opportunity to consult Eratosthenes CoE in efficiently managing and processing large geospatial datasets for crop classification. The project’s primary goal was to utilize Google Earth Engine (GEE) and Xarray to create and manage extensive datasets, crucial for their research. The existing GEE Python libraries were insufficient for handling the volume and … Read more
Paradisiotis, a leading enterprise in the poultry industry in Cyprus, often faces challenges in managing production effectively due to variability in growth rates and market demands. To address these issues, a sophisticated, data-driven approach using high-performance data analytics has been proposed, revolutionizing the way poultry management is conducted. The proposed system employs a robust model … Read more
We are pleased to share a success story from our collaboration with Vlassides Winery, where we provided consultation on developing a model to accurately predict the harvest dates for Merlot grapes using flowering dates and environmental parameters. The available data included meteorological data from the Cyprus Department of Meteorology, alongside bookkeeping information from Vlassides Winery. … Read more
Charalambides-Christis aimed to leverage High Performance Data Analytics to understand the impact of various product offers on sales and costs. Although this is a frequent and well-studied business problem, in practice, the circumstances are unique for every company and situation, requiring a tailored approach to accurately assess the impact. The primary goal was to identify … Read more
This May, we had the privilege of leading an engaging tutorial titled “Accelerating Generative AI with PyTorch” at the ISC High Performance 2024 conference. Hosted in the vibrant city of Hamburgh, our session offered a deep dive into the latest computational challenges and optimization techniques that are shaping the future of Generative AI. The intermediate-level … Read more