Toward Anthropomorphic Machine Learning

Plamen Parvanov Angelov; Xiaowei Gu

doi:10.1109/MC.2018.3620973

Toward Anthropomorphic Machine Learning

Plamen Parvanov Angelov, Xiaowei Gu

Lancaster University

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

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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 language	English
Pages (from-to)	28-36
Number of pages	9
Journal	Computer
Volume	51
Issue number	9
Early online date	04 Oct 2018
DOIs	https://doi.org/10.1109/MC.2018.3620973
Publication status	E-pub ahead of print - 04 Oct 2018
Externally published	Yes

Keywords

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

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10.1109/MC.2018.3620973

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Toward Anthropomorphic Machine Learning

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