Skip to main content

This article discusses Google’s AI research project Google Brain and DeepMind and their explanation for why, despite advances in computing power, machine learning still lags behind human cognitive skills, particularly the ability to “generalize beyond one’s experience”. The article describes the use of graphs of relationships to replicate neural networks as a potential area of future advancement in machine learning and artificial intelligence.

00
Cite Article
Harvard
APA
Footnote
RIS
(Ray, 2018)
Ray, T. 2018. 'Google Ponders the Shortcomings of Machine Learning'. Available at: https://theforge.defence.gov.au/publications/google-ponders-shortcomings-machine-learning (Accessed: 25 April 2026).
(Ray, 2018)
Ray, T. 2018. 'Google Ponders the Shortcomings of Machine Learning'. Available at: https://theforge.defence.gov.au/publications/google-ponders-shortcomings-machine-learning (Accessed: 25 April 2026).
Tiernan Ray, "Google Ponders the Shortcomings of Machine Learning", The Forge, Published: October 20, 2018, https://theforge.defence.gov.au/publications/google-ponders-shortcomings-machine-learning. (accessed April 25, 2026).
Download a RIS file to use in your citation management tools.
Defence Technical Social

Technical Mastery

One Defence Capability System tech-corems-level3
Capability Leadership tech-ecat-level3

Comments