Find below EMERGE’s news articles, press releases, digests of scientific publications, as well as other outreach materials.
Workshop Awareness in Artificial Agents
30 July 2025
EMERGE and VALAWAI projects invite you to the Biennale in Venice, Italy, on 6-8 September, to reflect on the nature of awareness through science, technology and art.
Publication: Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control
04 June 2025
In this work, EMERGE partners from Delft University of Technology introduce a streamlined method for learning low-dimensional, physics-based models that are both accurate and easy to interpret.
Publication: Nanowire Neural Networks for time-series processing
14 May 2025
In this work, EMERGE partners from the University of Pisa introduce a novel computational framework inspired by the physics of nanowire memristive networks, which they embed into the context of Recurrent Neural Networks (RNNs) for time-series processing.
Publication: Human cooperation with artificial agents varies across countries.
22 April 2025
In this work, EMERGE partners from the Ludwig Maximilian University of Munich examined people’s willingness to cooperate with artificial agents and humans in two classic economic games requiring a choice between self-interest and mutual benefit.
Publication: On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
11 April 2025
In this work, EMERGE partners from the University of Pisa present SWAN, a uniquely parameterized GNN model with antisymmetry both in space and weight domains, in order to obtain non-dissipativity.
Sabine Hauert at The Royal Institution.
26 March 2025
EMERGE partner was a recent lecturer at RI, where she explained how recent developments in robotics and AI can revolutionise our lives, and why swarm systems can be trusted.
Publication: A memristive computational neural network model for time-series processing
20 March 2025
In this work, EMERGE partners from the University of Pisa introduce a novel computational framework inspired by the physics of memristive devices and systems, which are embed into the context of Recurrent Neural Networks (RNNs) for time-series processing.
Publication: Synergy-based robotic quadruped leveraging passivity for natural intelligence and behavioural diversity
17 March 2025
In this work, EMERGE partners from the Delft University of Technology develop PAWS, passive automata with synergies, a legged system with synergistic actuation that uses four actuators to control its 12 degrees of freedom.
Publication: NiSNN-A: Noniterative Spiking Neural Network With Attention With Application to Motor Imagery EEG Classification
14 March 2025
In this work, EMERGE partners from the Delft University of Technology combine the SNN and the attention mechanisms for the EEG classification, aiming to improve precision and reduce energy consumption.
