{"product_id":"low-power-computer-vision-improve-the-efficiency-of-artificial-intelligence-9780367755287","title":"Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence","description":"\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. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\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\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":50871076421906,"sku":"9780367755287","price":63.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_00f52981-c6fe-492f-9f24-d4f553a3c975.jpg?v=1737822505","url":"https:\/\/surprise-castle.myshopify.com\/products\/low-power-computer-vision-improve-the-efficiency-of-artificial-intelligence-9780367755287","provider":"Surprise Castle","version":"1.0","type":"link"}