by Chi Thang Duong, Dimitri Percia David, Ljiljana Dolamic, Alain Mermoud, Vincent Lenders, Karl Aberer | May 11, 2023 | Publications, Scientific Articles
Abstract Mapping the technology landscape is crucial for market actors to take informed investment decisions. However,given the large amount of data on the Web and its subsequent information overload, manually retrievinginformation is a seemingly ineffective and...
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 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 Michael Tsesmelis, Dimitri Percia David, Thomas Maillart, Ljiljana Dolamic, Giorgio Tresoldi, William Blonay, Colin Barschel, Quentin Ladetto, Claudia Schärer, Vincent Lenders, Kilian Cuche, Alain Mermoud | Jan 20, 2022 | Podcasts, Publications, Technology Reviews
Abstract Several severe cyberincidents are pushing the Swiss federal government to take extensive measures against cyberthreats. The National Strategy for the protection of Switzerland against Cyber risks 2018-2022 (NCS) details the various measures that the...
by Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux | May 18, 2021 | Podcasts, Scientific Articles
Abstract Explainability is a key requirement for text classification in many application domains ranging from sentiment analysis to medical diagnosis or legal reviews. Existing methods often rely on “attention” mechanisms for explaining classification...
