Niclas Willem Fock CEO Santa Anna IT Research Insititute, Sweden (Linköping University, Department of Electrical Engineering) Introduction: Santa Anna IT Research Institute (“Santa Anna”) has through its membership in the consortium “AI Sweden” collaborated on the development of the GPT-SW3: LLMs. The GPT-SW3: models are since November 2023 open for further development, research and applications. […]

Alexa Kodde Project Manager at CLAIRE CLAIRE aims to provide organisational and logistical coordination and support, as well as promotion and visibility, for the planned AI Workshop Series on Secure, Reliable and Trustworthy AI, hosted by Eindhoven University of Technology, KU Leuven, and RWTH Aachen University. The overarching objective is to not only strengthen regional,

Alexa Kodde Project Manager at CLAIRE AI is the primary driver of scientific discoveries, industrial engineering, energy production, logistics, the creative economy, education, and public services. The vision for “AI Made in Europe” is more important than ever. But are we sure the vision has not become “AI Made Elsewhere”? Keywords: AI; moonshot; sovereignty Scientific

Carolin Benjamins PhD at Leibniz University Hannover Our goal is to progress on Dynamic Algorithm Configuration (DAC) for Bayesian Optimization (BO). BO is a widely-used and sample-efficient framework for optimizing black-box problems, which are often expensive to evaluate. Dynamically configuring BO enables to adapt to the optimization progress and to any problem landscape without prior

Sergio Muñoz Assistant Professor at Universidad Politécnica de Madrid The vast and ever-expanding digital landscape presents significant challenges for users striving to navigate and discern accurate information. This challenge is compounded by the dynamic nature of the Internet, characterized by attention-seeking strategies intended to exploit users’ unconscious emotional responses. This affects the credibility of information

Róbert Belanec PhD at Kempelen Institute of Intelligent Technologies The trustworthiness of the generative AI models is an important topic, especially with the increase in popularity of generative large language models. In recent years, the transformer architecture has become popular in the field of natural language processing. However, the increase in parameters is reducing the