{"product_id":"understanding-artificial-intelligence-fundamentals-and-applications-hardcover","title":"Understanding Artificial Intelligence: Fundamentals and Applications - Hardcover","description":"\u003cp\u003eby \u003cb\u003eAlbert Chun-Chen Liu\u003c\/b\u003e (Author), \u003cb\u003eOscar Ming Kin Law\u003c\/b\u003e (Author), \u003cb\u003eIain Law\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUnderstanding \u003cb\u003eArtificial Intelligence\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eProvides students across majors with a clear and accessible overview of new artificial intelligence technologies and applications\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eArtificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks. With the rise of artificial intelligence, the job market of the near future will be radically different many jobs will disappear, yet new jobs and opportunities will emerge.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eUnderstanding Artificial Intelligence: Fundamentals and Applications\u003c\/i\u003e covers the fundamental concepts and key technologies of AI while exploring its impact on the future of work. Requiring no previous background in artificial intelligence, this easy-to-understand textbook addresses AI challenges in healthcare, finance, retail, manufacturing, agriculture, government, and smart city development. Each chapter includes simple computer laboratories to teach students how to develop artificial intelligence applications and integrate software and hardware for robotic development. In addition, this text: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eFocuses on artificial intelligence applications in different industries and sectors\u003c\/li\u003e \u003cli\u003eTraces the history of neural networks and explains popular neural network architectures\u003c\/li\u003e \u003cli\u003eCovers AI technologies, such as Machine Vision (MV), Natural Language Processing (NLP), and Unmanned Aerial Vehicles (UAV)\u003c\/li\u003e \u003cli\u003eDescribes various artificial intelligence computational platforms, including Google Tensor Processing Unit (TPU) and Kneron Neural Processing Unit (NPU)\u003c\/li\u003e \u003cli\u003eHighlights the development of new artificial intelligence hardware and architectures\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eUnderstanding Artificial Intelligence: Fundamentals and Applications\u003c\/i\u003e is an excellent textbook for undergraduates in business, humanities, the arts, science, healthcare, engineering, and many other disciplines. It is also an invaluable guide for working professionals wanting to learn about the ways AI is changing their particular field.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eProvides students across majors with a clear and accessible overview of new artificial intelligence technologies and applications\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eArtificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks. With the rise of artificial intelligence, the job market of the near future will be radically different many jobs will disappear, yet new jobs and opportunities will emerge. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eUnderstanding Artificial Intelligence: Fundamentals and Applications\u003c\/i\u003e covers the fundamental concepts and key technologies of AI while exploring its impact on the future of work. Requiring no previous background in artificial intelligence, this easy-to-understand textbook addresses AI challenges in healthcare, finance, retail, manufacturing, agriculture, government, and smart city development. Each chapter includes simple computer laboratories to teach students how to develop artificial intelligence applications and integrate software and hardware for robotic development. In addition, this text: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFocuses on artificial intelligence applications in different industries and sectors\u003c\/li\u003e \u003cli\u003eTraces the history of neural networks and explains popular neural network architectures\u003c\/li\u003e \u003cli\u003eCovers AI technologies, such as Machine Vision (MV), Natural Language Processing (NLP), and Unmanned Aerial Vehicles (UAV) \u003c\/li\u003e \u003cli\u003eDescribes various artificial intelligence computational platforms, including Google Tensor Processing Unit (TPU) and Kneron Neural Processing Unit (NPU) \u003c\/li\u003e \u003cli\u003e Highlights the development of new artificial intelligence hardware and architectures\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eUnderstanding Artificial Intelligence: Fundamentals and Applications\u003c\/i\u003e is an excellent textbook for undergraduates in business, humanities, the arts, science, healthcare, engineering, and many other disciplines. It is also an invaluable guide for working professionals wanting to learn about the ways AI is changing their particular field.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAlbert Chun Chen Liu, Ph.D., \u003c\/b\u003e is the CEO of Kneron and an Adjunct Associate Professor at National Tsing Hua University, National Chiao Tung University, and National Cheng Kung University, Taiwan. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eOscar Ming Kin Law, Ph.D., \u003c\/b\u003e is the director of engineering at Kneron. He has over 20 years of experience in the semiconductor industry and has published more than 70 patents in various areas. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eIain Law\u003c\/b\u003e studies Economics and Data Science at the University of California, San Diego. He has worked on several artificial intelligence projects including the LEGO smart robot and DJI Tello smart drone for STEM education.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 224\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 21, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42098845057159,"sku":"9781119858331","price":165.6,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/2ba8261eee806eeed8320164fc83f83f.webp?v=1732367626","url":"https:\/\/booksby.splitshops.com\/products\/understanding-artificial-intelligence-fundamentals-and-applications-hardcover","provider":"Books by splitShops","version":"1.0","type":"link"}