At our lab, we work with bio-inspired approaches to AI, at the intersection of biological and artificial life, computational neuroscience, and complex systems. When we refer to artificial intelligence we do not mean smart algorithms, rather we mean artificial systems that have cognitive capabilities similar to those of living beings.
Our group is multidisciplinary, therefore we use methods ranging from analysis of electrophysiological data from in-vitro neuronal cultures, spiking neural network modelling, network theory, abstract CA/RBN models, evolutionary and swarm robotics, and art.
Our goal is to better understand the information processing and computation in living and neural systems, in order to build artificial intelligence systems that are more true to biology. This has potentially many advantages, such as energy efficiency, the ability to learn many complex tasks through emergence and self-organisation, the ability to transfer learning and adaptation to new environments, the need of less data.
In our lab we have some regular activities.
- We accept visiting researchers. Send an email to email@example.com.
- We mentor students on research projects, bachelor and master thesis at the intersection of artificial life, artificial intelligence, robotics, computational neuroscience, and art. We expect to produce some sort of tangible results by the end of the mentorship period, for example a research paper, a poster, or a demo/presentation of the project. See the available bachelor and master thesis here. Interested? Send an email to firstname.lastname@example.org.
- Trym Lindell, Neural Reservoirs and Hybrid Computing. 2020 (ongoing)
- Tom Glover, Cellular Automata Reservoir and Hybrid Computing. 2020 (ongoing)
- Hege Tapio, Futures of Living Technology, bio-art and techno-ecologies. 2020 (ongoing, co-supervisor).
- Sidney Pontes-Filho, Evolution of discrete dynamic systems for modelling computational systems based on self-organization through local interactions. 2018 (ongoing).
- Kristine Heiney, Self-Organizing Models of Artificial learning in neural substrates, toward strategies to restore perturbed dynamics. 2018 (ongoing).
- Ingvild Bertelsen, Edge-of-chaos dance, 2021 (ongoing).
- Giorgia Nadizar, Voxel-based soft robots and evolved spiking neutral network controllers, 2021 (ongoing).
- Håkon Weydahl, Data analysis and modelling from neural recordings from in-vitro neural networks from CMOS MEAs, 2021 (ongoing)
- Alexandre Variengien, Growing neural cellular automata brains, 2021 (ongoing).
- Jørgen Farner, Modelling spiking ANNs with variable spike propagation velocity, 2021 (ongoing)
- Eman Azab, AI-based learning for cloud services for adaptive autonomous behavior, 2021 (ongoing)
- Shayan Yazdanmehr, Comparison and benchmarking of cellular automata reservoir vs. random boolean networks reservoir, 2021 (ongoing)
- Glare Eugenio Dumo, Interactive Evolution of Artificial Life Art, 2021 (ongoing)
- Kristoffer Valderhaug, Quadruped Learning: Navigating Variable Terrain, 2021 (ongoing)
- Hedda Marie Westlin and Rosy Oo, Cellular automata with plasticity: cellular learning automata. 2021 (ongoing)
- Ola Huse Ramstad, NTNU. Computation in Neural Substratres. 2020 (ongoing).
- Maria Castellanos, OsloMet. Future of Living Technologies. 2021 (ongoing).
External PhD Students co-supervised
- Janelle Shari Weir, NTNU. In vitro neural networks as self-organizing computational substrates: Deciphering complex network dynamics in healthy and perturbed conditions. 2019 (ongoing).
- Nicholas Christiansen, NTNU. In-vitro and computing models of neural networks in amyotrophic lateral sclerosis. 2019 (ongoing).
- Vegard Fiskum, NTNU. Modelling neural network dynamics in amyotrophic lateral sclerosis. 2018 (ongoing).
- Johannes Jensen, NTNU. Reservoir Computing with Evolvable Nanomaterials. 2015 (ongoing).
- Kristin Bergaust, Dept. of Art, Design and Drama, OsloMet.
- Gunnar Tufte, Dept. of Computer Science, NTNU.
- Ioanna Sandvig and Axel Sandvig, Dept. of Neuromedicine and Movement Science, NTNU.
- Pedro Lind, Dept. of Computer Science, OsloMet.
- Gustavo Mello, Structural Models of Biological Neural Networks. 2018-20.
- Peter Aaser, NTNU. Hybrid computer-neuro system with self-organising networks. 2016-2020.
- Jacopo Talamini, Visiting PhD student from University of Trieste (Italy), Voxel-based soft-robots and reservoir computing. 2020.
- Piera Riccio, exchange student from Politecnico di Torino (Italy), EEG-based brain-computer interface to translate emotional states into original paintings, 2020-21.
- Kristoffer Olsen, UiO, Towards and Environment for the Evolution of Artificial General Intelligence. 2019-20.
- Magnus Poppe Wang, NTNU, Evolving knowledge and structure through evolution-based neural architecture search. 2018-19.
- Erik Wiker, NTNU, Reducing the search space of neuroevolution through montecarlo tree search. 2018-19.
- Haakon Haraldsen Roen, OsloMet, Investigating the transversive potential of research through practice at the intersection of art and IT. 2018-19.
- Benjamin Bocquillon, ISEP Paris (internship), Swarm robotics for evolutionary art. 2018.
- Erik Aaron Hansen, OsloMet. Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution. 2018.
- Khagendra Basnet, HiOA. IoT based temperature sensors monitoring for smart workload distribution on cloud systems. 2017.
- Muhammad Qammar Shehzad, HiOA. Autonomous and Self-Organisisng IoT. 2017.
- Santosh Nepali, HiOA. Evaluation of GPU-based cloud solutions (deep learning in the cloud). 2017.
- Ramesh Upreti, HiOA. Evaluation of Internet of Things solutions with cloud analytics. 2017.
- Tony Chau, NTNU. Gesture control with electromyography and deep learning. 2016/17.
- Andreas Molund, NTNU. Deep Reservoir computing using Cellular Automata. 2016/17.
- Magnus Gundersen, NTNU. Reservoir computing using parallel Cellular Automata reservoirs. 2016/17.
- Mathias Ose, NTNU. Cellular Automata development with CPPN-NEAT. 2016/17.
- Peter Aaser, NTNU. Investigating in-vitro neuron cultures as computational reservoir. 2016.
- Sindre Fjermestad, NTNU. Modeling of neuronal structures with CA-HyperNEAT. 2016.
- Kristian Normann, NTNU. Computation-in-materio: Computation with Light in Amorphous Silicon Solar Panels. 2016.
- Emil Taylor Bye, NTNU. Investigation of Elementary Cellular Automata for Reservoir Computing. 2016.
- Sigve Sebastian Farstad, NTNU. Evolving Cellular Automata in-Materio. 2015.
- Tom Glover, NTNU. An investigation into Cellular Automata: The Self-Modifying Instruction-Based Approach. 2015.
- Caroline Sæhle, NTNU. Evolvability of Instruction-based Random Boolean Networks. 2015.
- Andreas Giskeødegård, NTNU. Inkrementell Vekst av Genomet for Evolusjon av Genotype Representasjoner for Kunstige Cellulære Organismer. 2013.
- Gonzalo Alsina, NTNU. Analysis of Cellular Machines, Artificial Development and Artificial Evolution. 2013.
- Håkon Wold, NTNU. Can Genome Information be Used to Guide Evolutionary Search? 2013.
- John Anthony, NTNU. Using Genome Parameters to Predict Structural Complexity in Artificial Organisms. 2012.
- Ilham Jilani, Danial Afzaal, Yassin El-Barkani, Niman Yusuf, Pepper robot at the library. 2019.
- August Reinholt, Jan Andre Fagereng, Kim Mikal Torp, Øyvind Innvær Mjelstad, Anomaly detection of production data (in collaboration with Skatteetaten). 2019.
- Joachim Berg, Gustav Berggren, Arqam Sajid, Ruben Jahren, Sivert Borgeteien, OsloMet. Evolved art with transparent overlapping and geometic shapes. 2018.
- Nikolai Sveum Hopland, Vako Varankian, Mona Heggen, Sondre Rosenborg. Developing a proof of concept for Softbank Robotics Pepper with an emphasis on tracking and repositioning system and camera vision using CNNs. 2018.
- Sergio Sotres, OsloMet. Living Technology Lab assistant. 2020.
- Vako Varankian, OsloMet. Humanoid robots and swarm robotics (development and public relations). 2017-19.
- Christina Eline Ellingsen. OsloMet. Coordinator of Living Technology Lab. 2018.
- Stephanie Hoebeke, OsloMet. Visualization of Random Discrete Color Sampling, artistic exhibition. 2018.
- Haakon Haraldsen Roen, OsloMet. Artificial Life - Swarm Robotics Performance, artistic exhibition. 2018.
- Åsmund Røst Wien, HiOA, Pepper robot AI, IBM Watson, 2017-18
- Jonas Ege Carlsen, HiOA, Pepper robot AI, IBM Watson, Speech-to-text and Text-to-speech, 2017-18