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: 2022-02-23
  • 售價: $3,530
  • 貴賓價: 9.5 折 $3,354
  • 語言: 英文
  • 頁數: 416
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367744708
  • ISBN-13: 9780367744700
  • 相關分類: 人工智慧、Computer Vision

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商品描述

Daniel Reis has a degree in applied mathematics and an MBA. He has had a long career in the IT industry, mostly as a consultant implementing business applications in a variety of sectors.He has been working with Odoo (OpenERP at the time) since 2010 and is an active contributor to the Odoo Community Association (OCA), where he also serves as a board member.He is the managing director of Open Source Integrators, a leading open source and Odoo consultancy firm.

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.

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