A public habilitation lecture by Vojtěch Mrázek took place

On Friday, February 27, 2026, Ing. Vojtěch Mrázek, Ph.D., gave a habilitation lecture entitled „Energy-efficient neural networks for embedded systems“ at the faculty.

Evolutionary optimization of neural network accelerators – the topic of Mrázek's habilitation thesis neatly summarizes his scientific journey to date. Neural networks are, of course, the stars of mathematical models used in the field of information technology. Today, we are able to run a limited neural network even on portable devices, mobile phones, various IoT components, etc. However, even this limited performance has its requirements for computing capacity and energy resources. Hand in hand with the development of artificial intelligence, hardware must also evolve so that it is capable of implementing NN even in small portable devices. This is precisely where the scientific challenge lies, one that Vojtěch Mrázek has been successfully tackling for several years: Identifying and designing the parameters of the NN accelerator (memory organization, setting the size and structure of computing units, and the method of calculation) is far from a straightforward task. "Of course, we are able to identify the ideal combination of neural network and hardware solution. But the real goal is always a compromise between energy consumption and computing power," says Mrázek, describing the desired final state. The topic of his habilitation lecture focused precisely on ways to incorporate neural network inference computation into an embedded system.

How did Mrázek's scientific interest develop? How does he perceive his professional future and the habilitation itself? You can read about it here.