Literature DB >> 30670601

News Feature: What are the limits of deep learning?

M Mitchell Waldrop.   

Abstract

Year:  2019        PMID： 30670601      PMCID： PMC6347705          DOI： 10.1073/pnas.1821594116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


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  5 in total

1.  Mastering the game of Go with deep neural networks and tree search.

Authors:  David Silver; Aja Huang; Chris J Maddison; Arthur Guez; Laurent Sifre; George van den Driessche; Julian Schrittwieser; Ioannis Antonoglou; Veda Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; John Nham; Nal Kalchbrenner; Ilya Sutskever; Timothy Lillicrap; Madeleine Leach; Koray Kavukcuoglu; Thore Graepel; Demis Hassabis
Journal:  Nature       Date:  2016-01-28       Impact factor: 49.962

2.  Neural scene representation and rendering.

Authors:  S M Ali Eslami; Danilo Jimenez Rezende; Frederic Besse; Fabio Viola; Ari S Morcos; Marta Garnelo; Avraham Ruderman; Andrei A Rusu; Ivo Danihelka; Karol Gregor; David P Reichert; Lars Buesing; Theophane Weber; Oriol Vinyals; Dan Rosenbaum; Neil Rabinowitz; Helen King; Chloe Hillier; Matt Botvinick; Daan Wierstra; Koray Kavukcuoglu; Demis Hassabis
Journal:  Science       Date:  2018-06-15       Impact factor: 47.728

3.  Prefrontal cortex as a meta-reinforcement learning system.

Authors:  Jane X Wang; Zeb Kurth-Nelson; Dharshan Kumaran; Dhruva Tirumala; Hubert Soyer; Joel Z Leibo; Demis Hassabis; Matthew Botvinick
Journal:  Nat Neurosci       Date:  2018-05-14       Impact factor: 24.884

4.  Building machines that learn and think like people.

Authors:  Brenden M Lake; Tomer D Ullman; Joshua B Tenenbaum; Samuel J Gershman
Journal:  Behav Brain Sci       Date:  2016-11-24       Impact factor: 12.579

5.  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
  5 in total
  7 in total

Review 1.  Deep Learning and its Application for Healthcare Delivery in Low and Middle Income Countries.

Authors:  Douglas Williams; Heiko Hornung; Adi Nadimpalli; Ashton Peery
Journal:  Front Artif Intell       Date:  2021-04-29

Review 2.  Machine learning for enzyme engineering, selection and design.

Authors:  Ryan Feehan; Daniel Montezano; Joanna S G Slusky
Journal:  Protein Eng Des Sel       Date:  2021-02-15       Impact factor: 1.952

3.  Automated abnormality classification of chest radiographs using deep convolutional neural networks.

Authors:  Yu-Xing Tang; You-Bao Tang; Yifan Peng; Ke Yan; Mohammadhadi Bagheri; Bernadette A Redd; Catherine J Brandon; Zhiyong Lu; Mei Han; Jing Xiao; Ronald M Summers
Journal:  NPJ Digit Med       Date:  2020-05-14

4.  Deep Feature Selection and Causal Analysis of Alzheimer's Disease.

Authors:  Yuanyuan Liu; Zhouxuan Li; Qiyang Ge; Nan Lin; Momiao Xiong
Journal:  Front Neurosci       Date:  2019-11-15       Impact factor: 4.677

Review 5.  Artificial intelligence for the management of pancreatic diseases.

Authors:  Myrte Gorris; Sanne A Hoogenboom; Michael B Wallace; Jeanin E van Hooft
Journal:  Dig Endosc       Date:  2020-12-05       Impact factor: 7.559

6.  Artificial intelligence, machine learning, and deep learning for clinical outcome prediction.

Authors:  Rowland W Pettit; Robert Fullem; Chao Cheng; Christopher I Amos
Journal:  Emerg Top Life Sci       Date:  2021-12-20

7.  Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence.

Authors:  Anne-Marie Nussberger; Lan Luo; L Elisa Celis; M J Crockett
Journal:  Nat Commun       Date:  2022-10-03       Impact factor: 17.694
  7 in total

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