Hi everyone, I’m trying to choose between two potential master’s thesis topics and would love some input. Constraints: Only 3 months to finish. Max 4 hours/day of work. Can only access the uni lab once a week to use hardware (Nvidia Jetson Nano). The options are: Bio-Inspired AI for Energy-Efficient Predictive Maintenance – focused on STDP learning. Neuromorphic Fault Detection: Energy-Efficient SNNs for Real-Time Bearing Monitoring – supervised SNNs. Which of these do you think is more feasible under my constraints? I’m concerned about time, lab dependency, and complexity. Any thoughts, experiences, or suggestions would be super helpful! Thanks in advance. submitted by /u/Nawe_l
Originally posted by u/Nawe_l on r/ArtificialInteligence
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