Literature DB >> 25719660

Artificial intelligence: Learning to see and act.

Bernhard Schölkopf1.   

Abstract

Mesh：

Year:  2015        PMID： 25719660     DOI： 10.1038/518486a

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  1 in total

1.  Human-level control through deep reinforcement learning.

Authors:  Volodymyr Mnih; Koray Kavukcuoglu; David Silver; Andrei A Rusu; Joel Veness; Marc G Bellemare; Alex Graves; Martin Riedmiller; Andreas K Fidjeland; Georg Ostrovski; Stig Petersen; Charles Beattie; Amir Sadik; Ioannis Antonoglou; Helen King; Dharshan Kumaran; Daan Wierstra; Shane Legg; Demis Hassabis
Journal:  Nature       Date:  2015-02-26       Impact factor: 49.962
  1 in total
  7 in total

1.  Generalization guides human exploration in vast decision spaces.

Authors:  Charley M Wu; Eric Schulz; Maarten Speekenbrink; Jonathan D Nelson; Björn Meder
Journal:  Nat Hum Behav       Date:  2018-11-12

2.  Forecast Modelling via Variations in Binary Image-Encoded Information Exploited by Deep Learning Neural Networks.

Authors:  Da Liu; Ming Xu; Dongxiao Niu; Shoukai Wang; Sai Liang
Journal:  PLoS One       Date:  2016-06-09       Impact factor: 3.240

3.  Artificial neural networks enabled by nanophotonics.

Authors:  Qiming Zhang; Haoyi Yu; Martina Barbiero; Baokai Wang; Min Gu
Journal:  Light Sci Appl       Date:  2019-05-08       Impact factor: 17.782

Review 4.  Spatial and temporal epidemiological analysis in the Big Data era.

Authors:  Dirk U Pfeiffer; Kim B Stevens
Journal:  Prev Vet Med       Date:  2015-06-06       Impact factor: 2.670

5.  Opportunities for Artificial Intelligence in Advancing Precision Medicine.

Authors:  Fabian V Filipp
Journal:  Curr Genet Med Rep       Date:  2019-12-01

6.  Influence of COVID-19 on the Tourism Industry in China: An Artificial Neural Networks Approach.

Authors:  Zongguo Ma; Fazli Wahid; Samad Baseer; Ahmad Ali AlZubi; Hizbullah Khattak
Journal:  J Healthc Eng       Date:  2022-04-08       Impact factor: 3.822

7.  Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance.

Authors:  Li-Chiu Chang; Fi-John Chang; Shun-Nien Yang; Fong-He Tsai; Ting-Hua Chang; Edwin E Herricks
Journal:  Nat Commun       Date:  2020-04-24       Impact factor: 14.919
  7 in total

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