AI on Low-Cost Hardware: FPGA subgroup

In the past decades, much progress has been made in the field of AI, and now many different algorithms exist that reach very high accuracies. Unfortunately, many of these algorithms are quite resource intensive, which makes them unavailable on low-cost devices. <br/>The aim of this thesis is to explore algorithms and neural network techniques...

Towards Real-Time Olivary Neuron Modeling

The field of Computing has been a significant catalyst for innovation across various segments of our lives. Computational neuroscience keeps demanding increased perfor- mance to implement powerful simulators able to closely approximate brain behavior using complex mathematical models. This resulted in various High-Performance Com- puting systems...