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: Graph Adaptive Autoregressive Moving Average Models
19 July 2025
In this work, EMERGE partners from the University of Pisa build on the connection between Autoregressive Moving Average (ARMA) and SSM, and introduce GRAMA, a Graph Adaptive method based on a learnable ARMA framework that addresses these limitations.
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: 3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers
04 June 2025
In this work, EMERGE partners from the Delft University of Technology focus on the development of a robotic finger that emulates the multi-stiffness characteristics of human fingers.
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: Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
06 May 2025
EMERGE partners from the University of Pisa introduce port-Hamiltonian Deep Graph Networks, a novel framework that models neural information flow in graphs by building on the laws of conservation of Hamiltonian dynamical systems.
Publication: A Model of Memristive Nanowire Neuron for Recurrent Neural Networks
25 April 2025
In this work, EMERGE partners from the University of Pisa introduce a novel discrete-time model for a neural processing unit based on the physical principles of memristive nanowires.
Publication: Towards Adaptive and Stable Compositional Assemblies of Recurrent Neural Network Modules
25 April 2025
EMERGE partners from the University of Pisa propose two strategies to allow adaptivity of the internal weights of RNN modules while ensuring contractive dynamics from each.
Publication: Replay-free Online Continual Learning with Self-Supervised MultiPatches
25 April 2025
In this work, EMERGE partners from the University of Pisa propose Continual MultiPatches (CMP), an effective plug-in for existing OCL self-supervised learning strategies that avoids the use of replay samples.
