| 书目名称 | EdgeAI for Algorithmic Government | | 编辑 | Rajan Gupta,Sanjana Das,Saibal Kumar Pal | | 视频video | | | 概述 | Provides various EdgeAI concepts including its architecture, key performance indicators, and enabling technologies.Introduces the need for edge computing in algorithmic government and emphasizes some | | 图书封面 |  | | 描述 | .The book provides various EdgeAI concepts related to its architecture, key performance indicators, and enabling technologies after introducing algorithmic government, large-scale decision-making, and computing issues in the cloud and fog. With advancements in technology, artificial intelligence has permeated our personal lives and the fields of economy, socio-culture, and politics. The integration of artificial intelligence (AI) into decision-making for public services is changing how governments operate worldwide. This book discusses how algorithms help the government in various ways, including virtual assistants for busy civil servants, automated public services, and algorithmic decision-making processes. In such cases, the implementation of algorithms will occur on a massive scale and possibly affect the lives of entire communities. The cloud-centric architecture of artificial intelligence brings out challenges of latency, overhead communication, and significant privacy risks. Due to the sheer volume of data generated by IoT devices, the data analysis must be performed at the forefront of the network. This introduces the need for edge computing in algorithmic government. EdgeAI | | 出版日期 | Book 2023 | | 关键词 | Algorithmic Government; Automated Decision Making; E - Governance; AI-based decision Making; Edge Comput | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-9798-3 | | isbn_ebook | 978-981-19-9798-3 | | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023 |
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发表于 2025-3-21 16:56:42
