Kort om
Updated info: https://www.nichele.eu/
Forskningsgrupper
Forskningsprosjekter
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AI-Mind
Prosjektet har som mål å redusere utfordringene ved demens med å utvikle nye diagnostiserende verktøy og forbedre effektiviteten i helsesystemet.
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FeLT- Futures of Living Technologies
FeLT er motivert av relasjoner og interaksjon mellom mennesker, levende organismer og maskiner.
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Hybrid Deep Learning Cellular Automata Reservoir (DeepCA)
Et langsiktig prosjekt som søker å integrere biologisk og kunstig intelligens.
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Self-Organizing Computational substRATES (SOCRATES)
Et langsiktig prosjekt med mål om å gjøre effektive og kraftige dataanalyser tilgjengelig overalt, fra den enkleste sensornoden til den mest komplekse superdatamaskinen.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Dumo, Glare Eugenio; Lind, Pedro; Nichele, Stefano (2022). An HCI Experiment to Explore Interactive Artificial Life Art. Stephanidis, S; Antona, M; Ntoa, S (Red.). HCI International 2022 Posters. Chapter. s. 204-211. Springer.
Pontes Filho, Sidney; Olsen, Kristoffer; Yazidi, Anis; Riegler, Michael; Halvorsen, Pål; Nichele, Stefano
(2022).
Towards the Neuroevolution of Low-level artificial general intelligence.
15 s.
Frontiers in Robotics and AI
.
Vol. 9.
http://hdl.handle.net/10852/98309
Heiney, Kristine Anne; Huse Ramstad, Ola; Fiskum, Vegard; Sandvig, Axel; Sandvig, Ioanna; Nichele, Stefano
(2022).
Neuronal avalanche dynamics and functional connectivity elucidate information propagation in vitro.
17 s.
Frontiers in Neural Circuits
.
Vol. 16.
https://hdl.handle.net/11250/3039495
Pontes Filho, Sidney; Lind, Pedro; Nichele, Stefano
(2022).
Assessing the robustness of critical behavior in stochastic cellular automata.
8 s.
Physica D : Non-linear phenomena
.
Vol. 441.
https://hdl.handle.net/11250/3027900
Bhandari, Shailendra; Overskott, Sebastian Testanière; Adamopoulos, Ioannis; Lind, Pedro; Denysov, Sergiy; Nichele, Stefano
(2022).
Evolving Quantum Circuits to Implement Stochastic and Deterministic Cellular Automata Rules.
Chopard, Bastien; Bandini, Stefania; Dennunzio, Alberto; Arabi Haddad, Mira (Red.).
Cellular Automata, 15th International Conference on Cellular Automata for Research and Industry, ACRI 2022, Geneva, Switzerland, September 12–15, 2022, Proceedings. 1. s. 119-129.
Springer.
https://link.springer.com/chapter/10.1007/978-3-03...
Pontes Filho, Sidney; Walker, Kathryn; Najarro, Elias; Nichele, Stefano; Risi, Sebastian (2022). A single neural cellular automaton for body-brain co-evolution. GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Konferanseartikkel. s. 148-151. Association for Computing Machinery (ACM).
Riccio, Piera; Galati, Francesco; Zuluaga, Maria; De Martin, Juan Carlos; Nichele, Stefano
(2022).
Translating Emotions from EEG to Visual Arts.
Martins, Tiago; Rodríguez-Fernández, Nereida; M. Rebelo, Sérgio (Red.).
Artificial Intelligence in Music, Sound, Art and Design. 11th International Conference, EvoMUSART 2022, held as part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. 1. s. 243-258.
Springer.
https://link.springer.com/chapter/10.1007/978-3-03...
Nadizar, Giorgia; Medvet, Eric; Huse Ramstad, Ola; Nichele, Stefano; Pellegrino, Felice Andrea; Zullich, Marco
(2022).
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots.
Knowledge engineering review (Print)
.
Vol. 37.
https://hdl.handle.net/11250/3040433
Farner, Jørgen Jensen; Weydahl, Håkon; Jahren, Christian Ruben; Huse Ramstad, Ola; Nichele, Stefano; Heiney, Kristine Anne
(2021).
Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity.
Haddow, Pauline (Red.).
IEEE Symposium Series on Computational Intelligence 2021. KAPITTEL.
IEEE Press.
https://hdl.handle.net/11250/2981845
Pontes Filho, Sidney; Dahl, Annelene; Nichele, Stefano; Mello, Gustavo (2021). A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents. Arai, Kohei (Red.). Intelligent Systems and Applications, Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021) Volume 1. Artikkel. s. 549-558. Springer Nature.