Hello Radius – Consultation services

Automated Data Anonymisation Framework for Human Resources Hello Radius is an AI-powered hiring platform that accelerates and secures recruitment by using skill-matching and anonymisation technology to reduce bias and protect candidate data. The company needed a reliable way to anonymise sensitive data in candidate CVs, such as names, addresses, and phone numbers, to ensure compliance … Read more

Supercomputing for All: Getting Started with HPC & AI Resources

Date: Friday, November 29, 2024, 10:00-13:00, Cyprus time Venue: This training event is held as a hybrid event. You are welcome to join us at the Andreas Mouskos Auditorium, José Mariano Gago Hall, The Cyprus Institute. Otherwise please, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1)  Language: English  Registration: Registration for this event is open … Read more

Large Scale Machine Learning for Visual and Multimodal Data

Date: Thursday, November 7, 2024, 10:00-13:00, Cyprus time  Venue: This training event is held as a hybrid event. You are welcome to join us at the Andreas Mouskos Auditorium, José Mariano Gago Hall, The Cyprus Institute. Otherwise please, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1)  Language: English  Registration: Registration for this event is open … Read more

An introduction to Computational Modelling, Foundations of Deep Learning, and Quantum Computing

Date: Monday, November 18th, 2024, 10:00-13:00 Cyprus Time.  Venue: Kyrenia Amphitheater, Neapolis University Pafos, Cyprus. Otherwise please, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1)  Language: English  Registration: Registration for this event is open until Sunday, November 17th, 2024. Registration form here.  Agenda 10:00 – 10:40 Prof. Constantine Dovrolis Title: Neural nets do … Read more

German Oncology Center (GOC) – Consultation services

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

Eratosthenes CoE – Consultation services

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 – Proof of Concept

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

Vlassides winery – Consultation services

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 – Consultation services

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