Thesis supervisor: András Horváth
co-supervisor: György Csaba
Location of studies (in Hungarian): Pazmany Peter Catholic University – Faculty of Information Tecnhology and Bionics Abbreviation of location of studies: PPKE
Description of the research topic:
"Algorithms used in modern machine learning use general purpose architecture, which have high power consumption and are usually sub-optimal for the execution of these structures.
The main goal of this research is to investigate the possible application of non-Boolean, emerging devices in the structures.
During this work our aim is to identify how these new devices can be applied in the field of computer vision, neural networks and artificial intelligence.
System built from emerging devices emit complex, non-binary dynamics and our aim is to exploit these dynamics in association problems. These devices has the potential to be faster and consume lower power compared to the generally applied CMOS based architectures.
"
Required language skills: Hungarian Recommended language skills (in Hungarian): English Further requirements: Basic knowledge of modern machine learning algorithms and the dynamics of emerging devices and an excessive knowledge of Python programming language.
Number of students who can be accepted: 1
Deadline for application: 2018-12-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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