A Golden Decade of Deep Learning

Computing Systems & Applications

Bibliographic Data

ID9684962
AuthorsJeffrey Dean (corresponding author)
Year2022
Volume151
Issue2
Pages58-74
Publication date2022-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDaedalus (JOURNAL)
Journal identifiersISSN: 0011-5266 • E-ISSN: 1548-6192
PublisherMIT Press (PUBLISHER • US)
DOI10.1162/daed_a_01900
OpenAlexW4226114467
LanguageEN
Citations received7

The past decade has seen tremendous progress in the field of artificial intelligence thanks to the resurgence of neural networks through deep learning. This has helped improve the ability for computers to see, hear, and understand the world around them, leading to dramatic advances in the application of AI to many fields of science and other areas of human endeavor. In this essay, I examine the reasons for this progress, including the confluence of progress in computing hardware designed to accelerate machine learning and the emergence of open-source software frameworks to dramatically expand the set of people who can use machine learning effectively. I also present a broad overview of some of the areas in which machine learning has been applied over the past decade. Finally, I sketch out some likely directions from which further progress in artificial intelligence will come

Artificial neural network · Cognitive science · Data science · Deep learning · Field (mathematics · Sketch · Artificial Intelligence · Big Data and Digital Economy · Computer Science · IoT and Edge/Fog Computing · Machine Learning and Data Classification · Psychology

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Open DOIOpen Access