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Contact Co-President Bruno Dumas bruno.dumas@unamur.be Co-President Alexandre de Streel alexandre.destreel@unamur.be Organization Discover the members

NADI offers extensive expertise in artificial intelligence: bio-inspired robotics, robust, interactive, interpretable and safe machine learning, automatic program verification, declarative programming, business intelligence, knowledge representation and automatic software testing. This has already led to numerous collaborations with medical experts, industry and civil society. Along with other areas of expertise at NADI, AI experts are also exploring the educational, ethical, societal and legal implications of AI.

The collaborative economy refers to marketplaces that provide access to goods, services or skills through peer-to-peer exchanges. NADI explores the economic, technological and societal/environmental impacts of these exchanges.

Innovation has become increasingly complex. Developing appropriate solutions to our society's growing challenges requires exploring uncommon sources of solutions and combining the efforts of different stakeholders, including citizens or consumers. Co-innovation and co-creation analyze the methods, tools and governance that foster these participatory and collaborative approaches.

Japan is almost 10,000 kilometers from Belgium, a country that fascinates, not least for its rich culture full of contrasts. Researchers at UNamur maintain close ties with several Japanese institutions, particularly in the fields of computer science, mathematics and video games. Let's take a look at some of these collaborations..

This summer's third and final focus on the NaDI-CeRCLe research center, which has gained international recognition in recent weeks thanks to awards won by three young researchers in service management. Following on from Floriane Goosse and Victor Sluÿters, we invite you to discover the work of Florence Nizette, a young researcher working on Artificial Intelligence technologies.

Abstract Deep learning has become an extremely important technology in numerous domains such as computer vision, natural language processing, and autonomous systems. As neural networks grow in size and complexity to meet the demands of these applications, the cost of designing and training efficient models continues to rise in computation and energy consumption. Neural Architecture Search (NAS) has emerged as a promising solution to automate the design of performant neural networks. However, conventional NAS methods often require evaluating thousands of architectures, making them extremely resource-intensive and environmentally costly.This thesis introduces a novel, energy-aware NAS pipeline that operates at the intersection of Software Engineering and Machine Learning. We present CNNGen, a domain-specific generator for convolutional architectures, combined with performance and energy predictors to drastically reduce the number of architectures that need full training. These predictors are integrated into a multi-objective genetic algorithm (NSGA-II), enabling an efficient search for architectures that balance accuracy and energy consumption.Our approach explores a variety of prediction strategies, including sequence-based models, image-based representations, and deep metric learning, to estimate model quality from partial or symbolic representations. We validate our framework across three benchmark datasets, CIFAR-10, CIFAR-100, and Fashion-MNIST, demonstrating that it can produce results comparable to state-of-the-art architectures with significantly lower computational cost. By reducing the environmental footprint of NAS while maintaining high performance, this work contributes to the growing field of Green AI and highlights the value of predictive modelling in scalable and sustainable deep learning workflows. Jury Prof. Wim Vanhoof - University of Namur, BelgiumProf. Gilles Perrouin - University of Namur, BelgiumProf. Benoit Frénay - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Clément Quinton - University of Lille, FranceProf. Paul Temple- University of Rennes, FranceProf. Schin'ichi Satoh - National Institute of Informatics, Japan

A flurry of awards for the NaDI-CeRCLe research center in recent weeks. The service management research of three young doctoral students from the EMCP Faculty has been recognized by their peers at leading international scientific events: Floriane Goosse, Victor Sluÿters and Florence Nizette. This summer, we invite you to discover their careers and their work.

Two researchers from the Institut Patrimoines, Transmissions, Héritages (PaTHs) have just been awarded funding from the F.R.S - FNRS following calls whose results were published in December 2024. The PaTHs institute is a federation of research centers and groups that have sprung up in and around the Faculty of Philosophy and Letters. The institute is distinguished by its emphasis on critical analysis of the "traces" of the past (written, material, monumental, landscape, visual, sound...), to the point of placing the "trace" itself at the heart of scientific questioning.

The program Interventions by experts and researchers in the field of data science, , AI, digital twins, digital law and participatory processes.Registrations on the Vivre la Ville... website.

In September 1961, a few professors and fifteen students inaugurated the Faculty of Economic and Social Sciences at the University of Namur. Later renamed the Faculté des sciences économiques, sociales et de gestion, or FSESG, in over 60 years of existence, it has trained thousands of students who have become experts and decision-makers in key fields: economics, management, communication and political science. In September 2024, it changed its name to EMCP or Faculté Économie Management Communication sciencesPo. A change of name, symbol of a visionary mutation.

The workshop will feature:A keynote presentation on public value and AI implementation at VRT.Sessions on discoverability, user agency, and explainability.Discussions on regulation, including perspectives on the AI Act and transparency in media.An interactive session showingcasing AI-driven prototypes.The event will also highlight our project's latest findings. Join us for a day of thought-provoking discussions, knowledge exchange, and networking opportunities!Would you like to attend? Places are limited and will be allocated on a first-come, first-served basis, so register as soon as possible. Registration will close on April 11, 2025. More information here