Assess your digital and cyber maturity and needs

The Law of 8 December 2025, which aims to renew the aid scheme for environmental and climate protection, amends the existing Laws of 20 July 2017 (establishment of a regional investment aid scheme) and of 15 July 2022 (aid scheme in the context of the greenhouse gas emission allowance trading scheme for the period 2021-2030).

Due to the enormous growth in the size and number of datasets, professionals need tools and techniques to work with big data. Data analysis and preprocessing of small data can be done on a single computer, most of the time in a sequential regime. Typical libraries used are NumPy, Pandas, Scikit-learn, Matplotlib.

Join us for the Luxembourg National Information Day dedicated to the European Defence Fund (EDF) 2026 Work Programme. This event is a collaborative initiative by Luxinnovation and the Directorate of Defence designed to help Luxembourg's industrial and research communities navigate and maximise EDF funding opportunities.

Building on the previous calls for projects launched since 2022, the Ministry of the Economy is opening a new call for tenders, tailored to the needs and expectations of companies, with the aim of encouraging the development and operation of large-scale photovoltaic power plants in Luxembourg.

Renforcez votre vigilance. Protégez vos opérations. Développez une véritable cyber-résilience.

Save the Date: March 3-4, 2026 Campus Birkenfeld

Generative Adversarial Networks (GAN) are a type of Deep Neural Network (DNN) containing at least two networks within their structure – a Generator and a Discriminator. The Generator and the Discriminator play a competitive game against each other: The Generator tries to synthesize the most realistic data, e.g., images, videos, or signals, while the Discriminator is trained to distinguish real from fake (generated) data. The aim is to achieve equilibrium between these two neural networks, which requires a huge amount of data as well as a large amount of computation.