Literature DB >> 29269459

What can machine learning do? Workforce implications.

Erik Brynjolfsson1,2, Tom Mitchell3.   

Abstract

Mesh：

Year:  2017        PMID： 29269459     DOI： 10.1126/science.aap8062

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   47.728


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  21 in total

Review 1.  Machine behaviour.

Authors:  Iyad Rahwan; Manuel Cebrian; Nick Obradovich; Josh Bongard; Jean-François Bonnefon; Cynthia Breazeal; Jacob W Crandall; Nicholas A Christakis; Iain D Couzin; Matthew O Jackson; Nicholas R Jennings; Ece Kamar; Isabel M Kloumann; Hugo Larochelle; David Lazer; Richard McElreath; Alan Mislove; David C Parkes; Alex 'Sandy' Pentland; Margaret E Roberts; Azim Shariff; Joshua B Tenenbaum; Michael Wellman
Journal:  Nature       Date:  2019-04-24       Impact factor: 49.962

Review 2.  Expanding the medicinal chemistry synthetic toolbox.

Authors:  Jonas Boström; Dean G Brown; Robert J Young; György M Keserü
Journal:  Nat Rev Drug Discov       Date:  2018-08-24       Impact factor: 84.694

3.  Artificial Intelligence Can't Be Charmed: The Effects of Impartiality on Laypeople's Algorithmic Preferences.

Authors:  Marius C Claudy; Karl Aquino; Maja Graso
Journal:  Front Psychol       Date:  2022-06-29

4.  How Are Patented AI, Software and Robot Technologies Related to Wage Changes in the United States?

Authors:  Frank M Fossen; Daniel Samaan; Alina Sorgner
Journal:  Front Artif Intell       Date:  2022-06-14

5.  How digital finance affects income distribution: Evidence from 280 cities in China.

Authors:  Jiang Youxue
Journal:  PLoS One       Date:  2022-05-18       Impact factor: 3.240

6.  Promises of artificial intelligence in neuroradiology: a systematic technographic review.

Authors:  Allard W Olthof; Peter M A van Ooijen; Mohammad H Rezazade Mehrizi
Journal:  Neuroradiology       Date:  2020-04-22       Impact factor: 2.804

7.  Machine learning models to predict length of stay and discharge destination in complex head and neck surgery.

Authors:  Khodayar Goshtasbi; Tyler M Yasaka; Mehdi Zandi-Toghani; Hamid R Djalilian; William B Armstrong; Tjoson Tjoa; Yarah M Haidar; Mehdi Abouzari
Journal:  Head Neck       Date:  2020-11-03       Impact factor: 3.147

8.  Leveraging 16S rRNA Microbiome Sequencing Data to Identify Bacterial Signatures for Irritable Bowel Syndrome.

Authors:  Yuxia Liu; Wenhui Li; Hongxia Yang; Xiaoying Zhang; Wenxiu Wang; Sitong Jia; Beibei Xiang; Yi Wang; Lin Miao; Han Zhang; Lin Wang; Yujing Wang; Jixiang Song; Yingjie Sun; Lijuan Chai; Xiaoxuan Tian
Journal:  Front Cell Infect Microbiol       Date:  2021-06-11       Impact factor: 5.293

9.  Ethical Artificial Intelligence in Chemical Research and Development: A Dual Advantage for Sustainability.

Authors:  Erik Hermann; Gunter Hermann; Jean-Christophe Tremblay
Journal:  Sci Eng Ethics       Date:  2021-07-06       Impact factor: 3.525

Review 10.  Machine Learning in Orthopedics: A Literature Review.

Authors:  Federico Cabitza; Angela Locoro; Giuseppe Banfi
Journal:  Front Bioeng Biotechnol       Date:  2018-06-27
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