{"product_id":"low-power-computer-vision-improve-the-efficiency-of-artificial-intelligence-paperback","title":"Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGeorge K. Thiruvathukal\u003c\/b\u003e (Editor), \u003cb\u003eYung-Hsiang Lu\u003c\/b\u003e (Editor), \u003cb\u003eJaeyoun Kim\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eEnergy 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. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGeorge K. Thiruvathukal\u003c\/b\u003e 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\u003cbr\u003eengineering, and programming languages.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eYung-Hsiang Lu\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJaeyoun Kim\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eYiran Chen\u003c\/b\u003e 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\u003cbr\u003ecomputing, and mobile computing systems.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBo Chen\u003c\/b\u003e 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 438\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.89 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 04, 2024\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":50452273496301,"sku":"9780367755287","price":103.66,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.webster.direct\/en-ca\/products\/low-power-computer-vision-improve-the-efficiency-of-artificial-intelligence-paperback","provider":"Webster.Direct","version":"1.0","type":"link"}