Deep Learning and Artificial General Intelligence: Still a Long Way to Go

• URL: http://arxiv.org/abs/2203.14963v1
• Date: Fri, 25 Mar 2022 23:36:17 GMT
• Title: Deep Learning and Artificial General Intelligence: Still a Long Way to Go
• Authors: Maciej \'Swiechowski
• Abstract summary: Deep learning using neural network architecture has been on the frontier of computer science research. This article critically shows five major reasons why deep neural networks, as of the current state, are not ready to be the technique of choice for reaching Artificial General Intelligence.
• Score: 0.15229257192293197
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: In recent years, deep learning using neural network architecture, i.e. deep neural networks, has been on the frontier of computer science research. It has even lead to superhuman performance in some problems, e.g., in computer vision, games and biology, and as a result the term deep learning revolution was coined. The undisputed success and rapid growth of deep learning suggests that, in future, it might become an enabler for Artificial General Intelligence (AGI). In this article, we approach this statement critically showing five major reasons of why deep neural networks, as of the current state, are not ready to be the technique of choice for reaching AGI.

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