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Nature Machine Intelligence
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2020, vol.2, no.1
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2020, vol.2, no.9
题名
作者
出版年
年卷期
An embedded ethics approach for AI development
McLennan, Stuart; Fiske, Amelia; Celi, Leo Anthony; Mueller, Ruth; Harder, Jan; Buyx, Alena; Ritt, Konstantin; Haddadin, Sami
2020
2020, vol.2, no.9
Estimating time with neural networks
Merchant, Hugo; Perez, Oswaldo
2020
2020, vol.2, no.9
Race After Technology: Abolitionist Tools for the New Jim Code
Mohamed, Shakir
2020
2020, vol.2, no.9
Ensemble deep learning in bioinformatics
Cao, Yue; Geddes, Thomas Andrew; Yang, Jean Yee Hwa; Yang, Pengyi
2020
2020, vol.2, no.9
Finding the ground state of spin Hamiltonians with reinforcement learning
Mills, Kyle; Ronagh, Pooya; Tamblyn, Isaac
2020
2020, vol.2, no.9
Protein function prediction is improved by creating synthetic feature samples with generative adversarial networks
Wan, Cen; Jones, David T.
2020
2020, vol.2, no.9
Algorithms to live by
2020
2020, vol.2, no.9
Remote explainability faces the bouncer problem
Le Merrer, Erwan; Tredan, Gilles
2020
2020, vol.2, no.9
Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms
Birattari, Mauro; Ligot, Antoine; Hasselmann, Ken
2020
2020, vol.2, no.9
Predicting drug-protein interaction using quasi-visual question answering system (Feb, 10.1038/s42256-020-0152-y, 2020)
Zheng, Shuangjia; Li, Yongjian; Chen, Sheng; Xu, Jun; Yang, Yuedong
2020
2020, vol.2, no.9
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