by Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp, Dimitri Percia David, Alain Mermoud | Sep 20, 2023 | Publications, Scientific Articles
Abstract The need for dependable and real-time insights on technological paradigm shifts requires objective information. We develop a lean recommender system which predicts emerging technology by a sequential blend of machine learning and network analytics. We...
by Andrei Kucharavy, Zachary Schillaci, Loïc Maréchal, Maxime Würsch, Ljiljana Dolamic, Remi Sabonnadiere, Dimitri Percia David, Alain Mermoud, Vincent Lenders | Mar 21, 2023 | Podcasts, Publications, Technology Reviews
Abstract Generative Language Models gained significant attention in late 2022 / early 2023, notably with the introduction of models refined to act consistently with users’ expectations of interactions with AI (conversational models). Arguably the focal point of...
by Alexander Glavackij, Dimitri Percia David, Alain Mermoud, Angelika Romanou, Karl Aberer | Nov 29, 2022 | Publications, Scientific Articles
Abstract Because of the considerable heterogeneity and complexity of the technological landscape, building accurate models to forecast is a challenging endeavor. Due to their high prevalence in many complex systems, S-curves are a popular forecasting approach in...
by Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp, Dimitri Percia David, Alain Mermoud | Sep 21, 2022 | Publications, Scientific Articles
Abstract Strategic decisions rely heavily on non-scientific instrumentation to forecast emerging technologies and leading companies. Instead, we build a fast quantitative system with a small computational footprint to discover the most important technologies and...
by Sarah Ismail, Alain Mermoud, Dimitri Percia David, Valentin Mulder, Loïc Maréchal, Samuel Orso | May 1, 2022 | Podcasts, Projects
Abstract The goal of this quantitative study is to identify, analyze, and forecast trends related to data protection and encryption technologies. Based on Wikipedia pageview statistics, we study the public interest in 36 technologies that were previously identified by...