Zobrazeno 1 - 10
of 994
pro vyhledávání: '"P. A. Ignatiev"'
Despite the practical success of Artificial Intelligence (AI), current neural AI algorithms face two significant issues. First, the decisions made by neural architectures are often prone to bias and brittleness. Second, when a chain of reasoning is r
Externí odkaz:
http://arxiv.org/abs/2410.14219
Autor:
Cai, Zhixi, Cardenas, Cristian Rojas, Leo, Kevin, Zhang, Chenyuan, Backman, Kal, Li, Hanbing, Li, Boying, Ghorbanali, Mahsa, Datta, Stavya, Qu, Lizhen, Santiago, Julian Gutierrez, Ignatiev, Alexey, Li, Yuan-Fang, Vered, Mor, Stuckey, Peter J, de la Banda, Maria Garcia, Rezatofighi, Hamid
This paper addresses the problem of autonomous UAV search missions, where a UAV must locate specific Entities of Interest (EOIs) within a time limit, based on brief descriptions in large, hazard-prone environments with keep-out zones. The UAV must pe
Externí odkaz:
http://arxiv.org/abs/2409.10196
The present bias is a well-documented behavioral trait that significantly influences human decision-making, with present-biased agents often prioritizing immediate rewards over long-term benefits, leading to suboptimal outcomes in various real-world
Externí odkaz:
http://arxiv.org/abs/2408.13675
Autor:
Luginin, M., Trokhimovskiy, A., Fedorova, A., Belyaev, D., Ignatiev, N., Korablev, O., Montmessin, F., Grigoriev, A.
Mesospheric CO2 clouds are one of two types of carbon dioxide clouds known on Mars. We present observations of mesospheric CO2 clouds made by Atmospheric Chemistry Suit (ACS) onboard the ESA-Roscosmos ExoMars Trace Gas Orbiter (TGO). We analyzed 1663
Externí odkaz:
http://arxiv.org/abs/2406.01515
Autor:
Izza, Yacine, Huang, Xuanxiang, Morgado, Antonio, Planes, Jordi, Ignatiev, Alexey, Marques-Silva, Joao
The uses of machine learning (ML) have snowballed in recent years. In many cases, ML models are highly complex, and their operation is beyond the understanding of human decision-makers. Nevertheless, some uses of ML models involve high-stakes and saf
Externí odkaz:
http://arxiv.org/abs/2405.08297
Autor:
Polidan, Ronald S., Burns, Jack O., Ignatiev, Alex, Hegedus, Alex, Pober, Jonathan, Mahesh, Nivedita, Chang, Tzu-Ching, Hallinan, Gregg, Ning, Yuhong, Bowman, Judd
FarView is an early-stage concept for a large, low-frequency radio observatory, manufactured in-situ on the lunar far side using metals extracted from the lunar regolith. It consists of 100,000 dipole antennas in compact subarrays distributed over a
Externí odkaz:
http://arxiv.org/abs/2404.03840
Widespread use of artificial intelligence (AI) algorithms and machine learning (ML) models on the one hand and a number of crucial issues pertaining to them warrant the need for explainable artificial intelligence (XAI). A key explainability question
Externí odkaz:
http://arxiv.org/abs/2312.06973
Publikováno v:
Зерновое хозяйство России, Vol 0, Iss 4, Pp 105-112 (2024)
The current paper has presented the results of 2020–2022 testing carried out with ten parental forms of maize hybrids in such three locations, differing in moisture availability and other growing conditions as FSBSI “All-Russian Research Institut
Externí odkaz:
https://doaj.org/article/9493064225e445e8ad11780b26c42dec
Publikováno v:
Učënye Zapiski Kazanskogo Universiteta. Seriâ Estestvennye Nauki, Vol 166, Iss 3, Pp 525-547 (2024)
The rock composition and ore mineralization of the Malenkiy site located within the Khengur gabbro-dolerite complex of the Pay-Khoy were examined. Petrogeochemical analysis revealed two varieties of the studied rocks: fine-crystalline quartz and medi
Externí odkaz:
https://doaj.org/article/1dd841089ec547c8aaeb7e2ef3b6160e
Recent years have witnessed the widespread use of artificial intelligence (AI) algorithms and machine learning (ML) models. Despite their tremendous success, a number of vital problems like ML model brittleness, their fairness, and the lack of interp
Externí odkaz:
http://arxiv.org/abs/2307.03380