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商品描述
Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance. It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid.
In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no connectivity and/or powered by non-perpetual source or battery power.
The aim this book is to prepare current and future software engineering teams with the skills and tools to fully utilize AI capabilities in resource-constrained devices. The book introduces essential AI concepts from the perspectives of full-scale software development with emphasis on creating niche Blue Ocean small form factored computational environment products.
商品描述(中文翻譯)
人工智慧（AI）作為數位時代的變革性技術，顯得格外突出。其實際應用正在迅速增長。AI 應用之所以日益受到重視，主要原因之一在於其設計能夠持續從現實世界的使用和經驗中學習，並具備提升性能的能力。因此，AI 的應用範圍從複雜的高科技設備製造到為最終用戶提供個性化的專屬推薦，無不涵蓋其中。由於 AI 軟體的持續學習需求，許多部署 AI 軟體的計算平台需要資源密集型的計算能力，並且必須具備持續的連接性和穩定的電力供應，通常透過中央電網來實現。
為了讓全人類都能享受到 AI 革命的好處，傳統的 AI 軟體開發範式必須升級，以便在資源受限的環境中有效運作，包括小型計算設備、有限的電力供應、間歇性或無連接的設備，以及由非持續性電源或電池供電的設備。
本書的目標是為當前和未來的軟體工程團隊提供技能和工具，以充分利用資源受限設備中的 AI 能力。本書從全規模軟體開發的角度介紹基本的 AI 概念，並強調創造利基藍海小型計算環境產品。
作者簡介
Chandrasekar Vuppalapati graduated from San Jose State University Masters Program, specializing Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA. He is a Software IT Executive and Entrepreneur with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Data Analytics, Internet of Things (IoT), and Software Product & Program Management. Chandra has held engineering architectures and product leadership roles at Microsoft, GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies, a Bell Laboratories Company. He teaches Software Engineering, Large Scale Analytics, Data Science, Mobile Technologies, Cloud Technologies, and Web & Data Mining for Masters program in San Jose State University. Chandra has also held market research, strategy and technology architecture advisory roles in Cisco Systems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators & Students with Virtual Reality technologies. He has authored several international conference papers and published book on Building Enterprise IoT Applications. Chandra has served as Chair in numerous technology and advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA, Future of Information and Communication Conference 2018, Singapore and Intelligent Human Systems Integration (IHSI) 2020, Modena, Italy.
作者簡介(中文翻譯)
Chandrasekar Vuppalapati 於聖荷西州立大學的碩士課程畢業，專攻軟體工程，並在美國加州聖克拉拉大學完成工商管理碩士學位。他是一位軟體IT高管和企業家，擁有多元的軟體技術、企業軟體架構、雲端運算、數據分析、物聯網 (IoT) 以及軟體產品與計畫管理的經驗。Chandra 曾在微軟、GE Healthcare、思科系統、聖猶達醫療和盧森特科技（Bell Laboratories 旗下公司）擔任工程架構和產品領導角色。他在聖荷西州立大學教授軟體工程、大規模分析、數據科學、行動技術、雲端技術以及網頁與數據挖掘的碩士課程。Chandra 也曾在思科系統、Lam Research 擔任市場研究、策略和技術架構顧問，並在瓦利護理學校擔任首席研究員，將護理教育者與學生與虛擬實境技術連結起來。他已發表多篇國際會議論文，並出版了關於建立企業物聯網應用的書籍。Chandra 曾擔任多個技術和先進計算會議的主席，例如：IEEE Oxford（英國）、IEEE Big Data Services 2017（美國舊金山）、2018年資訊與通信未來會議（新加坡）以及2020年智能人類系統整合會議（意大利摩德納）。
