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FIT-EUDAcad. year: 2024/2025
This course introduces selected computational models and computer systems which have appeared at the intersection of hardware and artificial intelligence in order to address insufficient performance and energy efficiency of conventional computers in solving some hard problems. The course surveys relevant theoretical models, circuit techniques and computational intelligence methods inspired in biology. In particular, the following topics will be discussed: evolutionary design, evolvable hardware, neural hardware, neuroevolution and approximate computing. Typical applications will illustrate these approaches.Doctoral state exam - topics:
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branch DVI4 , 0 year of study, summer semester, elective
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Guided consultation in combined form of studies