Find below EMERGE’s news articles, press releases, digests of scientific publications, as well as other outreach materials.
Publication: Direct Feedback Alignment for Recurrent Neural Networks
24 November 2025
In this work, EMERGE partners from the University of Pisa adapt Direct Feedback Alignment (DFA) for both “vanilla” and gated recurrent networks.
Publication: Residual Reservoir Memory Networks
14 November 2025
In this work, EMERGE partners from the University of Pisa introduce a novel class of untrained RNNs within the Reservoir Computing (RC) paradigm, called Residual Reservoir Memory Networks (ResRMNs).
Publication: Non-Dissipative Graph Propagation for Non-Local Community Detection
14 November 2025
In this paper, EMERGE partners from the University of Pisa introduce a novel unsupervised community detection approach leveraging non-dissipative dynamical systems to ensure stability and to propagate long-range information effectively.
Publication: Less is More: An Analysis of Minimal Information Sharing on the Performance of Robot Swarms
11 November 2025
In this study, EMERGE partners from the University of Bristol investigate the impact of minimal global information sharing on the coordination and performance of robot swarms.
Publication: All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark
09 November 2025
In this work, EMERGE partners from the University of Pisa introduce MAIA (Multimodal AI Assessment), a native-Italian benchmark designed for fine-grained investigation of the reasoning abilities of visual language models on videos.
Publication: Towards Understanding the Impact of Swarm Motion on Human Trust
03 November 2025
In this work, EMERGE partners from the University of Bristol examine how swarm motion affects the trust of novice users in a service-oriented swarm, using an automated cloakroom as a test case.
Publication: Distributed Spatial Awareness for Robot Swarms
02 November 2025
In this work, EMERGE partners from the University of Bristol use local observations by robots of each other and Gaussian Belief Propagation message passing combined with continuous swarm movement to build a global and distributed swarm-centric frame of reference.
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.
