Browsing TKD - Master i Anvendt data- og informasjonsteknologi (ACIT) by Author "Nichele, Stefano"
Now showing items 1-5 of 5
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Activity dependent delay learning in spiking neural networks
Farner, Jørgen (ACIT;2022, Master thesis, 2022)Several observations indicate activity dependent changes in the propagation velocity of action potentials in biological neural networks. These changes are believed to be deliberate mechanisms in the brain used to mediate ... -
Building goal-specific quantum circuits with evolutionary algorithms
Bhandari, Shailendra (Master thesis, 2023)This thesis investigates the potential of bio-inspired evolutionary algorithms for designing quantum circuits that prepare highly entangled quantum states. Entanglement is a crucial quantum property and a valuable resource ... -
Comparison and benchmarking of reservoir computing using cellular automata and random boolean networks as substrates
Jahren, Ruben (ACIT;2022, Master thesis, 2022)Reservoir Computing is an emerging concept in artificial intelligence derived from Recurrent Neural Networks, which utilizes an untrained reservoir substrate to memorize and separate input in such a way that it may be ... -
Interactive evolution of artificial life art
Dumo, Glare Eugenio (ACIT;2022, Master thesis, 2022)In this thesis, we designed and presented an interface which is used for creating art using tools from artificial intelligence and artificial life. The interface is used for conducting two different experiments, one for ... -
Investigate AI-based learning for cloud services for adaptive autonomous behavior
Azab, Eman Moustafa (ACIT;2021, Master thesis, 2021)Cloud computing provides more reliable web services due to its flexibility for accessing resources on-demand and self-managed services. However, cloud computing faces new challenges when managing a massive amount of ...