Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Stuart Russell"'
Publikováno v:
The Seismic Record, Vol 4, Iss 3, Pp 204-213 (2024)
Ultra-low velocity zones (ULVZs) are anomalous regions on the core–mantle boundary. In the past decade, several ULVZs, and particularly the Hawaiian ULVZ, have been studied using postcursors to core-diffracted S waves (Sdiff), which constrain their
Externí odkaz:
https://doaj.org/article/69b5fddab47644cda85e9349fba7aae3
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-3 (2024)
Recent seismological studies challenge the traditional view that the interface between the core and mantle is a straightforward discontinuity. As seismology is pushed to its observational limits, a complex - potentially compositionally layered - regi
Externí odkaz:
https://doaj.org/article/e8ed57aec78f4558a6fce9e71e7f365e
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 24, Pp n/a-n/a (2023)
Abstract Geodynamic modeling and seismic studies have highlighted the possibility that a thin layer of low seismic velocities, potentially molten, may sit atop the core‐mantle boundary but has thus far eluded detection. In this study we employ norm
Externí odkaz:
https://doaj.org/article/65bb1bf6abc24c1087a1bb824466f589
Autor:
Lomas, Hannah, Roest, Richard, Wells, Adam, Wu, Hui, Jiang, Zhengyi, Sakurovs, Richard, Stuart, Russell, North, Lauren, Thorley, Tizshauna, Mahoney, Merrick R.
Publikováno v:
In Fuel 15 August 2018 226:564-572
Autor:
Stuart Russell
Publikováno v:
Nature. 614:620-623
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0bcedff1d8e306612b0f4985751a01c
https://doi.org/10.1038/d41586-023-00511-5
https://doi.org/10.1038/d41586-023-00511-5
Publikováno v:
IEEE Transactions on Information Theory. 68:8156-8196
Offline (or batch) reinforcement learning (RL) algorithms seek to learn an optimal policy from a fixed dataset without active data collection. Based on the composition of the offline dataset, two main categories of methods are used: imitation learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9cf56a952682a75ad35de11d516bc6e
https://doi.org/10.1109/tit.2022.3185139
https://doi.org/10.1109/tit.2022.3185139
Publikováno v:
Neural Networks. 152:542-554
Advances in artificial intelligence (AI) and brain science are going to have a huge impact on society. While technologies based on those advances can provide enormous social benefits, adoption of new technologies poses various risks. This article fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77610b7453b45697fa328a722672501e
https://doi.org/10.1016/j.neunet.2022.05.012
https://doi.org/10.1016/j.neunet.2022.05.012
Publikováno v:
In Resuscitation December 2015 97:97-102
Autor:
Stuart Russell
Publikováno v:
Daedalus. 151:43-57
Since its inception, AI has operated within a standard model whereby systems are designed to optimize a fixed, known objective. This model has been increasingly successful. I briefly summarize the state of the art and its likely evolution over the ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbbb9581d91137097b05c577fcb44ca2
https://doi.org/10.1162/daed_a_01899
https://doi.org/10.1162/daed_a_01899
Autor:
Stuart Russell
Publikováno v:
Oxford Review of Economic Policy. 37:509-520
The standard model for developing AI systems assumes a fixed, known objective that the AI system is required to optimize through its actions. Systems developed within the standard model have been increasingly successful. I briefly summarize the state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0910988b83628209614dd34f0f7fd95b
https://doi.org/10.1093/oxrep/grab013
https://doi.org/10.1093/oxrep/grab013