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Computer Science > Machine Learning

arXiv:2203.14963 (cs)
[Submitted on 25 Mar 2022 (v1), last revised 5 Apr 2022 (this version, v2)]

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

Authors:Maciej Świechowski
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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.
Comments: Accepted as a poster at 3rd Polish Conference on Artificial Intelligence (PP-RAI'2022)
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
MSC classes: 68T01 (Primary), 68T07
ACM classes: I.2.0; I.2.6
Cite as: arXiv:2203.14963 [cs.LG]
  (or arXiv:2203.14963v2 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2203.14963

Submission history

From: Maciej Swiechowski PhD [view email]
[v1] Fri, 25 Mar 2022 23:36:17 UTC (1,241 KB)
[v2] Tue, 5 Apr 2022 18:40:31 UTC (1,241 KB)
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