Approximate computing, Memristors, Neural networks, Machine learning -- Algorithms, Network optimization
Approximate computation is a new trend that explores and harnesses trade-offs between the precision and energy/power consumption of computing systems. In this project a feed-forward neural network was designed as well as several reservoir networks using different network topologies to compare the accuracy and resilience of the network against the computational complexity required.
Atherton, Richard, "Approximate Computing with Emerging Devices" (2020). Undergraduate Research & Mentoring Program. 41.