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Learning in AI Processor

Authors
  • Xinhua, Wang
  • Weikang, Wu
Journal
Artificial Intelligence Advances
Publisher
Bilingual Publishing Co.
Publication Date
Oct 30, 2021
Volume
3
Issue
2
Identifiers
DOI: 10.30564/aia.v3i2.3878
Source
Bilingual Publishing
License
Green

Abstract

AI processor, which can run artificial intelligence algorithms, is a state-of-the-art accelerator,in essence, to perform special algorithm in various applications. In particular,these are four AI applications: VR/AR smartphone games, high-performance computing, Advanced Driver Assistance Systems and IoT. Deep learning using convolutional neural networks (CNNs) involves embedding intelligence into applications to perform tasks and has achieved unprecedented accuracy [1]. Usually, the powerful multi-core processors and the on-chip tensor processing accelerator unit are prominent hardware features of deep learning AI processor. After data is collected by sensors, tools such as image processing technique, voice recognition and autonomous drone navigation, are adopted to pre-process and analyze data. In recent years, plenty of technologies associating with deep learning Al processor including cognitive spectrum sensing, computer vision and semantic reasoning become a focus in current research.

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