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dc.contributor.authorToosi, Amirhosein
dc.contributor.authorBottino, Andrea G
dc.contributor.authorSaboury, Babak
dc.contributor.authorSiegel, Eliot
dc.contributor.authorRahmim, Arman
dc.date.accessioned2021-09-24T14:24:02Z
dc.date.available2021-09-24T14:24:02Z
dc.date.issued2021-09-09en_US
dc.identifier.urihttp://hdl.handle.net/10713/16706
dc.descriptionThe 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'.en_US
dc.description.urihttps://doi.org/10.1016/j.cpet.2021.07.001en_US
dc.description.urihttps://arxiv.org/abs/2109.01517en_US
dc.language.isoenen_US
dc.publisherElsevier Inc.en_US
dc.relation.ispartofPET Clinicsen_US
dc.rightsCopyright © 2021 Elsevier Inc. All rights reserved.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectArtificial neural networksen_US
dc.subjectDeep learningen_US
dc.subjectMachine learningen_US
dc.subjectPerceptronen_US
dc.titleA Brief History of AI: How to Prevent Another Winter (A Critical Review)en_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.cpet.2021.07.001
dc.identifier.pmid34537126
dc.source.volume16
dc.source.issue4
dc.source.beginpage449
dc.source.endpage469
dc.source.countryUnited States


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