Overview of Recent Advancements in Deep Learning and Artificial Intelligence

Vijaykrishnan Narayanan; Yu Cao; Priyadarshini Panda; Nagadastagiri Reddy Challapalle; Xiaocong Du; Youngeun Kim; Gokul Krishnan; Chonghan Lee; Yuhang Li; Jingbo Sun; Yeshwanth Venkatesha; Zhenyu Wang; Yi Zheng

doi:10.1002/9781119853923.ch2

Overview of Recent Advancements in Deep Learning and Artificial Intelligence

Vijaykrishnan Narayanan, Yu Cao, Priyadarshini Panda, Nagadastagiri Reddy Challapalle, Xiaocong Du, Youngeun Kim, Gokul Krishnan, Chonghan Lee, Yuhang Li, Jingbo Sun, Yeshwanth Venkatesha, Zhenyu Wang, Yi Zheng

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Artificial intelligence (AI) systems have made significant impact on the society in the recent years in a wide range of fields, including healthcare, transportation, and finances. In healthcare, AI systems are used to diag-nose diseases and develop new medicine. Autonomous vehicles based on AI solutions are developed to revolutionize transportation. These advances have been driven by the development of deep learning algorithms, the avail-ability of large amounts of data, and new designs of powerful computing hardware. This chapter will explore the milestone methods and algorithms in deep learning, as well as the different hardware designs that can be used to accelerate these algorithms.

Original language	English (US)
Title of host publication	Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning
Publisher	Wiley
Pages	23-79
Number of pages	57
ISBN (Electronic)	9781119853923
ISBN (Print)	9781119853893
DOIs	https://doi.org/10.1002/9781119853923.ch2
State	Published - Jan 1 2023
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2023 by The Institute of Electrical and Electronics Engineers, Inc.

Keywords

Supervised learning
adversarial attacks, robustness, defense mechanisms
convolutional neural networks
deep learning
graph neural networks
recurrent neural networks
unsupervised learning

Publisher link

10.1002/9781119853923.ch2

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Narayanan, V., Cao, Y., Panda, P., Challapalle, N. R., Du, X., Kim, Y., Krishnan, G., Lee, C., Li, Y., Sun, J., Venkatesha, Y., Wang, Z., & Zheng, Y. (2023). Overview of Recent Advancements in Deep Learning and Artificial Intelligence. In Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning (pp. 23-79). Wiley. https://doi.org/10.1002/9781119853923.ch2

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AU - Challapalle, Nagadastagiri Reddy

AU - Du, Xiaocong

AU - Kim, Youngeun

AU - Krishnan, Gokul

AU - Lee, Chonghan

AU - Li, Yuhang

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AU - Venkatesha, Yeshwanth

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AB - Artificial intelligence (AI) systems have made significant impact on the society in the recent years in a wide range of fields, including healthcare, transportation, and finances. In healthcare, AI systems are used to diag-nose diseases and develop new medicine. Autonomous vehicles based on AI solutions are developed to revolutionize transportation. These advances have been driven by the development of deep learning algorithms, the avail-ability of large amounts of data, and new designs of powerful computing hardware. This chapter will explore the milestone methods and algorithms in deep learning, as well as the different hardware designs that can be used to accelerate these algorithms.

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Overview of Recent Advancements in Deep Learning and Artificial Intelligence

Abstract

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Keywords

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