| 20th February 2023: Loris Cannelli received a Grant from the Hasler foundation for the project Black-box optimization in multi-agent networks: towards a distributed learning approach. Congratulation Loris! |
| 05th December 2022: Marco Forgione and Dario Piga received funding for the Eureka Eurostars project HIRA - Hybrid InfraRed System for Affective Computing from Innosuisse. |
| 15th October 2022: Filippo Pura received a prize from the Nizzola Foundation for the project Hybrid physical-based and data-driven modelling for the automated calibration of laser cutting parameters |
| 22nd August 2022: The paper Preference-Based Optimization of a Human-Robot Collaborative Controller by Loris Roveda, Marco Maccarini, Filippo Pura and Dario Piga will be presented at the SYROCO 2022 in Matsumoto, Japan. |
| 26th July 2022: Dario Piga received a Grant from the Hasler foundation for the project Learning from wise: a new machine learning paradigm to leverage model rationality. |
| 15th July 2022: The paper Multi-Objects Robotic Grasping Optimization Employing a 2D camera by Loris Roveda, Marco Maccarini, Filippo Pura, Asad Ali Shahid and Dario Piga will be presented at the ICECCME 2022 in Male, Maldives. |
| 30th June 2022: The paper Visual Servoing with Geometrically Interpretable Neural Perception by A. Paolillo, M. Nava, D. Piga and A. Giusti will be presented at the IROS 2022 in Kyoto |
| 29th June 2022: New paper on neural state-space system identification available on ArXiv: Paper link |
| 30th May 2022: Manas Mejari received a Grant from the Hasler foundation for the project INHALE: Interpretable Neural networks for Hybrid dynamicAL systEms. Congratulation Manas! |
| 25th May 2022: New paper on continuos-time identification of LPV systems published in Automatica, Paper link |
| 18th May 2022: The EU-MCSA VIRTUOUS project is presented at the AIDD Spring School - Advanced Machine Learning for Drug Discovery, read more |
| 15th November 2021: Loris Cannelli received a Grant from the Hasler foundation for the project PARTTIME: PARallel algoriThms for real-TIME magnetic resonance imaging reconstruction. Congratulation Loris! |