Zobrazeno 1 - 10
of 5 151
pro vyhledávání: '"A. Malinka"'
Autor:
Táborská, Dita
Narodila se v porodnici, přesto je úředně nalezencem. Když ji totiž Ina s Jaromírem ke svým dvěma biologicky vlastním synům adoptovali, měla téměř ve všech kolonkách rodného listu vepsán údaj Nezjištěno. Ina rozuměla trápením
Advancements in artificial intelligence and machine learning have significantly improved synthetic speech generation. This paper explores diffusion models, a novel method for creating realistic synthetic speech. We create a diffusion dataset using av
Externí odkaz:
http://arxiv.org/abs/2410.06796
Autor:
Malinka, Kamil, Firc, Anton, Loutocký, Pavel, Vostoupal, Jakub, Krištofík, Andrej, Kasl, František
To keep up with the growing number of cyber-attacks and associated threats, there is an ever-increasing demand for cybersecurity professionals and new methods and technologies. Training new cybersecurity professionals is a challenging task due to the
Externí odkaz:
http://arxiv.org/abs/2404.12043
AI assistants for coding are on the rise. However one of the reasons developers and companies avoid harnessing their full potential is the questionable security of the generated code. This paper first reviews the current state-of-the-art and identifi
Externí odkaz:
http://arxiv.org/abs/2403.12671
The blockchain brought interesting properties for many practical applications. However, some properties, such as the transaction processing throughput remained limited, especially in Proof-of-Work blockchains. Therefore, several promising directions,
Externí odkaz:
http://arxiv.org/abs/2311.04638
Autor:
BEZDĚK, Jan1 bezdek@mendelu.cz
Publikováno v:
Acta Entomologica Musei Nationalis Pragae. 2010, Vol. 50 Issue 2, p563-575. 13p. 1 Color Photograph, 3 Diagrams.
Several blockchain consensus protocols proposed to use of Directed Acyclic Graphs (DAGs) to solve the limited processing throughput of traditional single-chain Proof-of-Work (PoW) blockchains. Many such protocols utilize a random transaction selectio
Externí odkaz:
http://arxiv.org/abs/2305.16757
Publikováno v:
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education ITiCSE. June 2023. Pages 47-53
In late 2022, OpenAI released a new version of ChatGPT, a sophisticated natural language processing system capable of holding natural conversations while preserving and responding to the context of the discussion. ChatGPT has exceeded expectations in
Externí odkaz:
http://arxiv.org/abs/2303.11146
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-25 (2024)
Abstract In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research. First, we pioneer an evaluation of the impact of prior information on deepfake recogn
Externí odkaz:
https://doaj.org/article/a3afdb0ac65f447bb3429767907a6bed
Autor:
Lisa-Marie Skrip, Simon Moosburner, Peter Tang, Jing Guo, Steffen Görner, Heiko Tzschätzsch, Kristin Brüggemann, Kilian Alexander Walter, Clarissa Hosse, Uli Fehrenbach, Alexander Arnold, Dominik Modest, Felix Krenzien, Wenzel Schöning, Thomas Malinka, Johann Pratschke, Björn Papke, Josef A. Käs, Ingolf Sack, Igor M. Sauer, Karl H. Hillebrandt
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Colorectal cancer is the third most common tumour entity in the world and up to 50% of the patients develop liver metastases (CRLM) within five years. To improve and personalize therapeutic strategies, new diagnostic tools are urg
Externí odkaz:
https://doaj.org/article/4d8a063d200f4829a702332450f30823