Embedded Artificial Intelligence: Real-Life Applications and Case Studies
暫譯: 嵌入式人工智慧：實際應用與案例研究
Boruah, Arpita Nath, Goswami, Mrinal, Kumar, Manoj
商品描述
This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimizing algorithms and models for embedded systems, including hardware acceleration, model compression, and quantization.
Key features:
- Explores security experiments in emerging post-CMOS technologies using AI, including side channel attack-resistant embedded systems.
- Discusses different hardware and software platforms available for developing embedded AI applications, as well as the various techniques used to design and implement these systems.
- Considers ethical and societal implications of embedded AI vis-a-vis the need for responsible development and deployment of embedded AI systems.
- Focuses on application-based research and case studies to develop embedded AI systems for real-life applications.
- Examines high-end parallel systems to run complex AI algorithms and comprehensive functionality while maintaining portability and power efficiency.
This reference book is for students, researchers, and professionals interested in embedded AI and relevant branches of computer science, electrical engineering, or artificial intelligence.
商品描述(中文翻譯)
這本書探討嵌入式人工智慧在革命性改變醫療、交通、製造和零售等行業中的角色。書中首先介紹人工智慧和嵌入式系統的基本原理，以及特定的挑戰和機會。本書的重點是為嵌入式人工智慧系統開發高效且有效的演算法和模型，因為嵌入式系統的處理能力、記憶體和儲存空間有限。書中討論了多種優化嵌入式系統演算法和模型的技術，包括硬體加速、模型壓縮和量化。
主要特色：
- 探討使用人工智慧進行新興後CMOS技術的安全實驗，包括抗側信道攻擊的嵌入式系統。
- 討論開發嵌入式人工智慧應用的不同硬體和軟體平台，以及設計和實現這些系統所使用的各種技術。
- 考慮嵌入式人工智慧的倫理和社會影響，並強調負責任地開發和部署嵌入式人工智慧系統的必要性。
- 專注於基於應用的研究和案例研究，以開發適用於現實應用的嵌入式人工智慧系統。
- 檢視高端平行系統以運行複雜的人工智慧演算法和全面的功能，同時保持可攜性和能效。
這本參考書適合對嵌入式人工智慧及相關計算機科學、電機工程或人工智慧領域感興趣的學生、研究人員和專業人士。
作者簡介
Arpita Nath Boruah is an Assistant Professor, Programme Computer Science and Engineering in the Faculty of Engineering and Technology at Assam Down Town University, Assam, India. She earned her doctorate degree from the National Institute of Technology, Silchar, Assam, in the Department of Computer Science and Engineering. She holds an MTech degree in Computer Science and Engineering from NERIST, Arunachal Pradesh, and a bachelor's degree in Computer Science and Engineering from Jorhat Engineering College, Assam. She is currently involved in research areas that include data mining, machine learning, data science, and transparent decision-making system. She has published several international journal articles in SCI/SCIE-indexed journals from various reputed publishers and has attended many international conferences.
Mrinal Goswami earned his BTech degree in Computer Science and Engineering from the North Eastern Regional Institute of Science and Technology, India, in 2012. He earned his MTech and PhD in Computer Science and Engineering from the National Institute of Technology, Durgapur, West Bengal, India, in 2014 and 2019, respectively. He has over eight years of research and teaching experience as an assistant professor. Currently, he is with the Faculty of Engineering and Technology, Programme of Computer Science and Engineering, Assam Down Town University, Guwahati, Assam, India, and working as an Associate Professor. Before this, he was an Assistant Professor in the Department of Computer Science and Engineering at the University of Petroleum and Energy Studies (NIRF Rank 54 & NACC A accredited) and North Eastern Regional Institute Science and Technology (Deemed-to-be-University under the Ministry of Education, Govt. of India). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Cellular Automata India Chapter. He has published several international research articles on design, testing, security, and fault-tolerance issues in digital systems, quantum dot cellular automata, quantum computing, and AI.
Manoj Kumar completed his PhD from The Northcap University and MSc (Information Security and Digital Forensics) from Technological University Dublin, Ireland, in 2013. He received a fully funded scholarship for the MTech and MSc programmes from the Irish Government and the MHRD, respectively. He has more than 13 years of research, teaching, and corporate experience. He is currently an Associate Professor of Cyber Security at the University of Wollongong in Dubai, UAE, and a Research Head for the Network and Cyber Security Cluster @UOWD. He has published over 170 articles in various journals and conferences. He published over 10 patents and delivered three international research-funded projects. He published three authored books and eight edited books. His specializations are digital forensics, machine learning, information security, image processing, IOT, and computer networking. He is a member of numerous renowned professional bodies including IEEE, ACM, IAENG, ISTS, and UACEE. He received the Best Researcher Award in 2020, an Outstanding Scientist Award in 2021, and a Young Researcher Award in 2021 from recognized international professional societies.
Octavio Loyola-Gonzalez earned his PhD in Computer Science from the National Institute of Astrophysics, Optics, and Electronics, Mexico. He has won several awards from different institutions for his research work on applied projects. Consequently, he is a member of the National System of Researchers in Mexico (Rank 1). He worked as a distinguished professor and researcher at the Tecnologico de Monterrey, Campus Puebla, for undergraduate and graduate programmes of Computer Sciences. He was a Managing Director for Altair Management Consultants, having branches in the USA, UK, Spain, and Mexico, where he led several teams of data scientists for AI and ML, business intelligence reporting, and traditional consulting. Currently, he serves as an AI Executive Consulting Manager at NTT DATA. His responsibilities include bringing in clients from the automotive, manufacturing, real estate, infrastructure, and services sectors for deals related to advanced analytics (AI & GenAI). Additionally, he oversees the operations and activities of a team of data scientists, guiding them on both technical and business strategy aspects. Furthermore, he is actively involved in publishing scientific papers and books in reputable journals to promote advancements in AI research.
作者簡介(中文翻譯)
阿爾皮塔·納斯·博魯阿是印度阿薩姆州阿薩姆市的阿薩姆下城大學工程與技術學院計算機科學與工程專業的助理教授。她在阿薩姆州西爾查爾的國立技術學院計算機科學與工程系獲得博士學位。她擁有阿魯納恰爾邦NERIST的計算機科學與工程碩士學位，以及阿薩姆州喬爾哈特工程學院的計算機科學與工程學士學位。她目前的研究領域包括數據挖掘、機器學習、數據科學和透明決策系統。她在多家知名出版商的SCI/SCIE索引期刊上發表了多篇國際期刊文章，並參加了許多國際會議。
米納爾·戈斯瓦米於2012年在印度東北區科學技術學院獲得計算機科學與工程的BTech學位。他於2014年和2019年分別在印度西孟加拉邦的國立技術學院獲得計算機科學與工程的MTech和PhD學位。他擁有超過八年的研究和教學經驗，擔任助理教授。目前，他在印度阿薩姆州古瓦哈提的阿薩姆下城大學工程與技術學院計算機科學與工程專業擔任副教授。在此之前，他曾在石油與能源研究大學（NIRF排名54及NACC A級認證）和東北區科學技術學院（印度教育部認可的準大學）擔任計算機科學與工程系的助理教授。他是電氣與電子工程師學會（IEEE）和細胞自動機印度分會的成員。他在數位系統的設計、測試、安全性和容錯問題、量子點細胞自動機、量子計算和人工智慧等領域發表了多篇國際研究文章。
馬諾傑·庫馬爾於2013年在北卡普大學獲得博士學位，並在愛爾蘭都柏林科技大學獲得資訊安全與數位取證的碩士學位。他獲得了愛爾蘭政府和MHRD提供的全額獎學金，分別用於MTech和碩士課程。他擁有超過13年的研究、教學和企業經驗。目前，他是阿聯酋迪拜伍倫貢大學的網路安全副教授，並擔任網路與網路安全集群的研究負責人。他在各種期刊和會議上發表了超過170篇文章，並獲得了超過10項專利，完成了三個國際研究資助項目。他出版了三本專著和八本編輯書籍。他的專業領域包括數位取證、機器學習、資訊安全、影像處理、物聯網和計算機網路。他是多個知名專業機構的成員，包括IEEE、ACM、IAENG、ISTS和UACEE。他在2020年獲得最佳研究者獎，2021年獲得傑出科學家獎和青年研究者獎，均來自國際知名專業學會。
奧克塔維奧·洛約拉-岡薩雷斯在墨西哥國立天體物理學、光學和電子學院獲得計算機科學博士學位。他因其應用項目的研究工作獲得了多個機構的獎項。因此，他是墨西哥國家研究系統的成員（排名1）。他曾在蒙特雷科技大學普埃布拉校區擔任計算機科學本科和研究生課程的傑出教授和研究員。他曾擔任Altair管理顧問公司的董事總經理，該公司在美國、英國、西班牙和墨西哥設有分支機構，並領導多個數據科學家團隊，專注於人工智慧和機器學習、商業智能報告和傳統顧問服務。目前，他在NTT DATA擔任人工智慧執行顧問經理，負責從汽車、製造、房地產、基礎設施和服務等行業引進客戶，進行與先進分析（AI和GenAI）相關的交易。此外，他還負責監督數據科學家團隊的運營和活動，指導他們在技術和商業策略方面的工作。此外，他積極參與在知名期刊上發表科學論文和書籍，以促進人工智慧研究的進展。
