AI on the Edge with Security: Foundations and Practices
暫譯: 邊緣運算中的安全性：基礎與實踐
Sehgal, Naresh Kumar, Saxena, Manoj, Shah, Dhaval N.
相關主題
商品描述
This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers. This book will highlight the associated problems and propose new solutions for performing AI and ML at the edge of computing networks.
商品描述(中文翻譯)
本書為讀者提供了下一代雲端運算與人工智慧的概述，旨在最小化延遲並解決許多客戶的隱私和安全問題。本書將強調相關的問題並提出在計算網路邊緣執行人工智慧（AI）和機器學習（ML）的新解決方案。
作者簡介
Naresh Kumar Sehgal is a CTO at the Deeply Human AI. Before that he worked at NovaSignal for 3 years and at Intel for 32 years in various Engineering and Management roles. Naresh has earned his B.E. from Punjab Engineering College, M.S. and Ph.D. from Syracuse University. He taught Cloud Computing at Santa Clara University, where he also earned an MBA.
Manoj Saxena is currently working as a Chief Researcher at Centre of Excellence for Distributed Artificial Intelligence, NetEdge. He is a Gold Medallist in Electrical Engineering from Delhi College of Engineering with a Master's in computer science from Indian Institute of Science, Bangalore, and a Ph.D. in Computer Science with research in the area of Distributed Artificial Intelligence from IIT, Delhi. With over 30 years of experience in Information Technology, his prime focus is on Artificial Intelligence, Machine Learning, Knowledge Management, Distributed Systems, Internet of Things, and Cloud Computing.
Dhaval N. Shah is an Entrepreneurial Software Professional working in the AI space. Since over two decades, he is based in California, USA where he came to study Computer Science at Stanford University after his B. Tech. in Computer Science and Engineering at IIT (BHU), Varanasi (was awarded the Outstanding Student of the Institute for the entire IIT Graduating Batch). He previously worked at Cisco Systems and Oracle Corporation and has been part of several startups including co-founding MooWee (Internet video space) that was acquired. He was a Fellow at Syracuse University and holds a MS from University of Wisconsin-Madison, Certificate in Software Systems from Stanford University, and a MBA from University of California, Berkeley.
作者簡介(中文翻譯)
Naresh Kumar Sehgal 是 Deeply Human AI 的首席技術官。在此之前，他在 NovaSignal 工作了 3 年，並在 Intel 擔任各種工程和管理職位長達 32 年。Naresh 擁有旁遮普工程學院的工學士學位，並在雪城大學獲得碩士和博士學位。他曾在聖克拉拉大學教授雲端運算，並在該校獲得 MBA 學位。
Manoj Saxena 目前擔任 NetEdge 的分散式人工智慧卓越中心的首席研究員。他是德里工程學院電機工程的金獎得主，並擁有印度科學院班加羅爾的計算機科學碩士學位，以及德里印度理工學院的計算機科學博士學位，研究領域為分散式人工智慧。擁有超過 30 年的資訊科技經驗，他的主要專注領域包括人工智慧、機器學習、知識管理、分散式系統、物聯網和雲端運算。
Dhaval N. Shah 是一位在人工智慧領域工作的創業軟體專業人士。二十多年來，他一直居住在美國加州，並在印度理工學院（BHU）瓦拉納西獲得計算機科學與工程的工學士學位後，來到史丹佛大學學習計算機科學（曾獲得整個 IIT 畢業班的傑出學生獎）。他曾在思科系統公司和甲骨文公司工作，並參與多個初創公司，包括共同創辦了 MooWee（網路視頻領域），該公司已被收購。他曾是雪城大學的研究員，擁有威斯康辛大學麥迪遜分校的碩士學位、史丹佛大學的軟體系統證書，以及加州大學伯克利分校的 MBA 學位。
