Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence

Thiruvathukal, George K., Lu, Yung-Hsiang, Kim, Jaeyoun

Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence
  • 出版商: CRC
  • 出版日期: 2024-10-04
  • 售價: $2,310
  • 貴賓價: 9.5 折 $2,195
  • 語言: 英文
  • 頁數: 438
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367755289
  • ISBN-13: 9780367755287
  • 相關分類: 人工智慧、Computer Vision

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015.

商品描述(中文翻譯)

能源效率對於在電池供電系統上運行計算機視覺至關重要，例如手機或無人機（UAV）。本書匯集了自2015年以來獲得年度IEEE低功耗計算機視覺挑戰賽的獲勝方法。

作者簡介

George K. Thiruvathukal is a professor of Computer Science at Loyola University Chicago, Illinois, USA. He is also a visiting faculty at Argonne National Laboratory. His research areas include high performance and distributed computing, software
engineering, and programming languages.

Yung-Hsiang Lu is a professor of Electrical and Computer Engineering at Purdue University, Indiana, USA. He is the first director of Purdue's John Martinson Engineering Entrepreneurial Center. He is a fellow of the IEEE and distinguished scientist of the ACM. His research interests include computer vision, mobile systems, and cloud computing.

Jaeyoun Kim is a technical program manager at Google, California, USA. He leads AI research projects, including MobileNets and TensorFlow Model Garden, to build state-of-the-art machine learning models and modeling libraries for computer vision and natural language processing.

Yiran Chen is a professor of Electrical and Computer Engineering at Duke University, North Carolina, USA. He is a fellow of the ACM and the IEEE. His research areas include new memory and storage systems, machine learning and neuromorphic
computing, and mobile computing systems.

Bo Chen is the Director of AutoML at DJI, Guangdong, China. Before joining DJI, he was a researcher at Google, California, USA. His research interests are the optimization of neural network software and hardware as well as landing AI technology in products with stringent resource constraints.

作者簡介(中文翻譯)

喬治·K·提魯瓦圖卡爾（George K. Thiruvathukal）是美國伊利諾伊州芝加哥洛約拉大學的計算機科學教授。他同時也是阿貢國家實驗室的訪問教員。他的研究領域包括高效能與分散式計算、軟體工程以及程式語言。

呂永祥（Yung-Hsiang Lu）是美國印第安納州普渡大學的電機與計算機工程教授。他是普渡大學約翰·馬丁森工程創業中心的首任主任。他是IEEE的會士及ACM的傑出科學家。他的研究興趣包括計算機視覺、行動系統和雲端計算。

金在允（Jaeyoun Kim）是美國加州谷歌的技術項目經理。他負責領導AI研究項目，包括MobileNets和TensorFlow Model Garden，以建立最先進的機器學習模型和計算機視覺及自然語言處理的建模庫。

陳怡然（Yiran Chen）是美國北卡羅來納州杜克大學的電機與計算機工程教授。他是ACM和IEEE的會士。他的研究領域包括新型記憶體和儲存系統、機器學習和神經形態計算，以及行動計算系統。

陳博（Bo Chen）是中國廣東省大疆創新（DJI）的AutoML總監。在加入大疆之前，他曾是美國加州谷歌的研究員。他的研究興趣包括神經網絡軟體和硬體的優化，以及在資源限制嚴格的產品中落實AI技術。

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