The DAIS project will research and deliver distributed artificial intelligent systems. It will not research new algorithms, as such, but solves the problems of running existing algorithms on these vastly distributed edge devices that are designed based on the above three European core values. The research and innovation activities are organized around eight complementary and mutually supportive supply chains. 

Description in Czech
Projekt DAIS se zaměřuje na výzkum a vývoj distribuovaných systémů s umělou inteligencí.  Nemá za cíl vytvářet zcela nové algoritmy, soustředí se spíše na otázku běhu existujících algoritmů v rozsáhlých distribuovaných systémech pro počítání na okraji (edge computing). Výzkumné a inovační aktivity jsou organizovány ve vztahu k osmi dodavatelským řetězcům, které se vzájemně doplňují a podporují. 

Keywords
Communication engineering and systems telecommunications, Machine learning, statistical data processing and applications using

Key words in Czech
Komunikační inženýrství, telekomunikační systémy,  strojové učení, zpracování statistických dat

101007273

English

Smrž Pavel, doc. RNDr., Ph.D. - principal person responsible
Bambušek Daniel, Ing. - fellow researcher
Bařina David, Ing., Ph.D. - fellow researcher
Beran Vítězslav, doc. Ing., Ph.D. - fellow researcher
Homoliak Ivan, doc. Ing., Ph.D. - fellow researcher
Milet Tomáš, Ing., Ph.D. - fellow researcher
Musil Martin, Ing., Ph.D. - fellow researcher
Nosko Svetozár, Ing., Ph.D. - fellow researcher
Skokanová Jana, Mgr. - fellow researcher
Šimek Václav, Ing. - fellow researcher
Volf Tomáš, Ing. - fellow researcher
Zemčík Pavel, prof. Dr. Ing., dr. h. c. - fellow researcher

Department of Computer Graphics and Multimedia
- responsible department (11.6.2020 - not assigned)
Department of Computer Graphics and Multimedia
- co-beneficiary (11.6.2020 - 31.12.2024)
Mälardalen University
- co-beneficiary (11.6.2020 - 31.12.2024)
RISE Research Institutes of Sweden
- beneficiary (11.6.2020 - 31.12.2024)

DRGA, J.; HOMOLIAK, I.; VANČO, J.; PEREŠÍNI, M.; HANÁČEK, P.; VASILAKOS, A. Detecting and Preventing Credential Misuse in OTP-Based Two and Half Factor Authentication Toward Centralized Services Utilizing Blockchain-Based Identity Management. In 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). Dubai: Institute of Electrical and Electronics Engineers, 2023. p. 1-4. ISBN: 979-8-3503-1019-1.
Detail

VENUGOPALAN, S.; STANČÍKOVÁ, I.; HOMOLIAK, I. Always on Voting: A Framework for Repetitive Voting on the Blockchain. IEEE Transactions on Emerging Topics in Computing, 2023, vol. 11, no. 4, p. 1-11. ISSN: 2168-6750.
Detail

HOMOLIAK, I.; LI, Z.; SZALACHOWSKI, P. BBB-Voting: Self-Tallying End-to-End Verifiable 1-out-of-k Blockchain-Based Boardroom Voting. In 2023 IEEE International Conference on Blockchain (Blockchain). Hainan: Institute of Electrical and Electronics Engineers, 2023. p. 297-306. ISBN: 979-8-3503-1929-3.
Detail

Responsibility: Smrž Pavel, doc. RNDr., Ph.D.