Zobrazeno 1 - 10
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pro vyhledávání: '"Jääskeläinen, A."'
Publikováno v:
Part of the Proceedings of WASP-HS Workshop Living with AI. Critical Questions for the Social Sciences and Humanities 2023 WASP-HS Conference
The aim of this workshop was to enable critical discussion on AI futures using fictional news articles and discussion groups. By collaboratively imagining and presenting future scenarios in a journalistic news article format, participants explored th
Externí odkaz:
http://arxiv.org/abs/2409.06354
Autor:
Jääskeläinen, Petra, Kanhov, Elin
Human-nonhuman sound interaction and technologies aim to bridge the gap of inter-species communication. While they emerge from attempts to understand and communicate with nonhumans, they also raise questions on the ethics of nonhuman data use, for ex
Externí odkaz:
http://arxiv.org/abs/2408.10756
Each homeomorphic parametrization of a Jordan curve via the unit circle extends to a homeomorphism of the entire plane. It is a natural question to ask if such a homeomorphism can be chosen so as to have some Sobolev regularity. This prompts the simp
Externí odkaz:
http://arxiv.org/abs/2408.00506
Publikováno v:
Journal of Business & Industrial Marketing, 2024, Vol. 39, Issue 13, pp. 128-144.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JBIM-09-2023-0542
This work considers the optimization of electrode positions in head imaging by electrical impedance tomography. The study is motivated by maximizing the sensitivity of electrode measurements to conductivity changes when monitoring the condition of a
Externí odkaz:
http://arxiv.org/abs/2312.10383
Autor:
Jääskeläinen, Petra
AI is becoming increasingly popular in artistic practices, but the tools for informing practitioners about the environmental impact (and other sustainability implications) of AI are adapted for other contexts than creative practices -- making the too
Externí odkaz:
http://arxiv.org/abs/2309.14877
We propose a novel computing runtime that exposes remote compute devices via the cross-vendor open heterogeneous computing standard OpenCL and can execute compute tasks on the MEC cluster side across multiple servers in a scalable manner. Intermitten
Externí odkaz:
http://arxiv.org/abs/2309.00407
Publikováno v:
International Journal of Operations & Production Management, 2024, Vol. 44, Issue 13, pp. 229-250.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOPM-06-2023-0492
Many graphics rendering algorithms used in both real-time games and virtual reality applications can get performance boosts by temporally reusing previous computations. However, algorithms based on temporal reuse are typically measured using trivial
Externí odkaz:
http://arxiv.org/abs/2305.04804
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 3855-3870 (2024)
The precipitation over the Arctic region is a difficult quantity to determine with high accuracy, as the in situ observation network is sparse, and current climate models, atmospheric reanalyses, and direct satellite-based precipitation observations
Externí odkaz:
https://doaj.org/article/06abc4a07aba4c07b6303752af2785dd