Literature DB >> 31531926

The limits of machine intelligence: Despite progress in machine intelligence, artificial general intelligence is still a major challenge.

Henry Shevlin1, Karina Vold1, Matthew Crosby2, Marta Halina1.   

Abstract

Despite recent breakthroughs in machine learning, current artificial systems lack key features of biological intelligence. Whether the current limitations can be overcome is an open question, but critical to answer, given the implications for society.
© 2019 The Authors.

Mesh:

Year:  2019        PMID: 31531926      PMCID: PMC6776890          DOI: 10.15252/embr.201949177

Source DB:  PubMed          Journal:  EMBO Rep        ISSN: 1469-221X            Impact factor:   8.807


  2 in total

1.  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

2.  Using the Aesop's fable paradigm to investigate causal understanding of water displacement by New Caledonian crows.

Authors:  Sarah A Jelbert; Alex H Taylor; Lucy G Cheke; Nicola S Clayton; Russell D Gray
Journal:  PLoS One       Date:  2014-03-26       Impact factor: 3.240

  2 in total

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