Find below EMERGE’s news articles, press releases, digests of scientific publications, as well as other outreach materials.
Publication: An Experimental Comparison of the Most Popular Approaches to Fake News Detection
25 July 2026
In this work, EMERGE partners from University of Pisa present a critical assessment of 12 representative fake news detection approaches, spanning traditional machine learning, deep learning, transformers, and specialized cross-domain architectures.
Publication: Collective intelligence in clinical medicine: what works, what fails, and how collaboration with AI really helps
02 July 2026
In this work, EMERGE partners from Ludwig Maximilian University of Munich define collective intelligence in medicine and explain why healthcare is a uniquely important domain for its study, given the combination of high complexity and high stakes.
Publication: Adapting language models with continual learning for temporal drifts
28 March 2026
In this study, EMERGE partners from the University of Pisa address the challenge of keeping LLMs up to date with factual knowledge (adaptation) while avoiding forgetting the relevant existing knowledge.
Publication: Covert neural and autonomic signatures of shared perception
17 February 2026
In this study, EMERGE partners from the Ludwig Maximilian University of Munich tested whether awareness that a visual stimulus is simultaneously available to another person, without interaction, modulates behavioral performance and neurophysiological signatures of perceptual decision-making.
Publication: Learning and Transferring Physical Models through Derivatives
23 January 2026
In this study, EMERGE partners from University of Pisa propose Derivative Learning (DERL), a supervised approach that models physical systems by learning their partial derivatives.
Publication: Neural Linear Oscillator Networks and their Application to Soft Robots Model Learning and Control
21 January 2026
Building on these developments, EMERGE partners from the Delft University of Technology take a step toward applying such principles to the learning of physical dynamics.
Publication: AI’s assigned gender affects human-AI cooperation
19 December 2025
In this study, EMERGE partners from the Ludwig Maximilian University of Munich investigates how cooperation varies with the gender labels assigned to AI partners.
Publication: Embedded deep reservoir computing for modelling complex industrial systems
17 October 2025
In this work, EMERGE partners from the University of Pisa propose the use of Deep Echo State Networks to model an industrial system.
Publication: Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions
15 October 2025
In this work, EMERGE partners from the Delft University of Technology introduce a comprehensive framework that enforces strict contact force limits across the entire soft-robot body during environmental interactions.
