Project Details
Distributed Artificial Intelligent Systems
Project Period: 1. 5. 2021 - 31. 12. 2024
Project Type: grant
Code: 8A21012, 101007273
Agency: ECSEL Joint Undertaking
Program: Společná technologická iniciativa ECSEL
Communication engineering and systems telecommunications, Machine learning, statistical data processing and applications using
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.
Bambušek Daniel, Ing. (UPGM FIT VUT)
Bařina David, Ing., Ph.D. (UPGM FIT VUT)
Beran Vítězslav, doc. Ing., Ph.D. (UPGM FIT VUT)
Homoliak Ivan, Ing., Ph.D. (UITS FIT VUT)
Milet Tomáš, Ing., Ph.D. (UPGM FIT VUT)
Musil Martin, Ing., Ph.D. (UPGM FIT VUT)
Nosko Svetozár, Ing. (UPGM FIT VUT)
Skokanová Jana, Mgr. (CVT FIT VUT)
Šimek Václav, Ing. (UPSY FIT VUT)
Volf Tomáš, Ing. (UIFS FIT VUT)
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT)
2023
- VENUGOPALAN Sarad, STANČÍKOVÁ Ivana and HOMOLIAK Ivan. Always on Voting: A Framework for Repetitive Voting on the Blockchain. 2023, pp. 1-11. Detail
- DRGA Jozef, HOMOLIAK Ivan, VANČO Juraj, PEREŠÍNI Martin, HANÁČEK Petr and VASILAKOS Athanasios. 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, pp. 1-4. ISBN 0-06-000020-1. Detail