Toward Anthropomorphic Machine Learning

Plamen Parvanov Angelov, Xiaowei Gu

Research output: Contribution to journalArticlepeer-review

24 Citations (SciVal)
31 Downloads (Pure)

Abstract

Future intelligent machines will be more human-friendly and human-like, while offering much higher throughput and automation, thus augmenting our (human) capabilities. Anthropomorphic machine learning is an emerging direction for future development in artificial intelligence (AI) and data science. This revolutionary shift offers human-like abilities to the next generation of machine learning with greater potential for underpinning breakthroughs in technology development as well as in various aspects of everyday life.
Original languageEnglish
Pages (from-to)28-36
Number of pages9
JournalComputer
Volume51
Issue number9
Early online date04 Oct 2018
DOIs
Publication statusE-pub ahead of print - 04 Oct 2018
Externally publishedYes

Keywords

  • AI
  • anthropomorphic machine learning
  • artificial intelligence
  • deep learning
  • future of AI
  • machine learning

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