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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.

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(Ray, 2018)
Ray, T. 2018. 'Google Ponders the Shortcomings of Machine Learning'. Available at: https://theforge.defence.gov.au/article/google-ponders-shortcomings-machine-learning (Accessed: 20 April 2025).
(Ray, 2018)
Ray, T. 2018. 'Google Ponders the Shortcomings of Machine Learning'. Available at: https://theforge.defence.gov.au/article/google-ponders-shortcomings-machine-learning (Accessed: 20 April 2025).
Tiernan Ray, "Google Ponders the Shortcomings of Machine Learning", The Forge, Published: October 20, 2018, https://theforge.defence.gov.au/article/google-ponders-shortcomings-machine-learning. (accessed April 20, 2025).
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