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    A Brief History of AI: How to Prevent Another Winter (A Critical Review)

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    Author
    Toosi, Amirhosein
    Bottino, Andrea G
    Saboury, Babak
    Siegel, Eliot
    Rahmim, Arman
    Date
    2021-09-09
    Journal
    PET Clinics
    Publisher
    Elsevier Inc.
    Type
    Article
    
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    Show full item record
    See at
    https://doi.org/10.1016/j.cpet.2021.07.001
    https://arxiv.org/abs/2109.01517
    Description
    The field of artificial intelligence (AI), regarded as one of the most enigmatic areas of science, has witnessed exponential growth in the past decade including a remarkably wide array of applications, having already impacted our everyday lives. Advances in computing power and the design of sophisticated AI algorithms have enabled computers to outperform humans in a variety of tasks, especially in the areas of computer vision and speech recognition. Yet, AI's path has never been smooth, having essentially fallen apart twice in its lifetime ('winters' of AI), both after periods of popular success ('summers' of AI). We provide a brief rundown of AI's evolution over the course of decades, highlighting its crucial moments and major turning points from inception to the present. In doing so, we attempt to learn, anticipate the future, and discuss what steps may be taken to prevent another 'winter'.
    Rights/Terms
    Copyright © 2021 Elsevier Inc. All rights reserved.
    Keyword
    Artificial intelligence
    Artificial neural networks
    Deep learning
    Machine learning
    Perceptron
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/16706
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.cpet.2021.07.001
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