by Ljiljana Dolamic, Julian Jang-Jaccard, Alain Mermoud, Vincent Lenders | Apr 23, 2024 | Publications, Scientific Articles
Abstract: Identifying emerging technologies and forecasting their trends is pivotal for stakeholders and decision-makers across academia, industry, and government agencies. The current strategies employed to track technology trends often rely on proprietary closed...
by Ciarán Bryce, Alexandros Kalousis, Ilan Leroux, Hélène Madinier, Thomas Pasche, Octave Plancherel, Patrick Ruch | Mar 13, 2024 | Publications, Technology Reviews
The Haute Ecole de Gestion (HEG) of the Applied University of Western Switzerland (HES-SO) collaborated with the Cyber-Defence Campus on a technology monitoring project on the theme of Large Language Models and their progression, notably in relation to cyber-defence....
by Daniel Celeny, Loïc Maréchal | Feb 7, 2024 | Publications, Scientific Articles
Abstract: We extract firms’ cyber risk with a machine learning algorithm measuring the proximity between their disclosures and a dedicated cyber corpus. Our approach outperforms dictionary methods, uses full disclosure and not devoted-only sections, and...
by André Charneca, Angelika Romanou, Ljiljana Dolamic, Alain Mermoud | Dec 22, 2023 | Podcasts
Abstract This study investigates the effectiveness of two distinct computational approaches for mapping the technological landscape by extracting company and product relations from news articles. The first approach leverages Large Language Models (LLMs), specifically...
by Maxime Würsch, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud | Aug 24, 2023 | Podcasts, Publications, Scientific Articles
Abstract The cybersecurity landscape evolves rapidly and poses threats to organizations. To enhance resilience, one needs to track the latest developments and trends in the domain. For this purpose, we use large language models (LLMs) to extract relevant knowledge...
