APSIPA Transactions on Signal and Information Processing > Vol 7 > Issue 1

The artificial intelligence renaissance: deep learning and the road to human-Level machine intelligence

Industrial Technology Advances

Kar-Han Tan, NCS. 5 Ang Mo Kio Street 62, Singapore, karhan.tan@ieee.org , Boon Pang Lim, NovuMind. 5201 Great America Parkway, USA
 
Suggested Citation
Kar-Han Tan and Boon Pang Lim (2018), "The artificial intelligence renaissance: deep learning and the road to human-Level machine intelligence", APSIPA Transactions on Signal and Information Processing: Vol. 7: No. 1, e6. http://dx.doi.org/10.1017/ATSIP.2018.6

Publication Date: 23 Jul 2018
© 2018 Kar-Han Tan and Boon Pang Lim
 
Subjects
 
Keywords
Artificial intelligenceDeep learningMachine learningComputer visionSpeech recognitionConvolutional neural networks
 

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This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. ORIGINS 
III. NEURAL NETWORKS AND DEEP LEARNING 
IV. APPLICATIONS 
V. CHALLENGES 
VI. IMPACT AND CONCLUSIONS 

Abstract

In this paper we look at recent advances in artificial intelligence. Decades in the making, a confluence of several factors in the past few years has culminated in a string of breakthroughs in many longstanding research challenges. A number of problems that were considered too challenging just a few years ago can now be solved convincingly by deep neural networks. Although deep learning appears to be reducing the algorithmic problem solving to a matter of data collection and labeling, we believe that many insights learned from ‘pre-Deep Learning’ works still apply and will be more valuable than ever in guiding the design of novel neural network architectures.

DOI:10.1017/ATSIP.2018.6