EdgeAI for Algorithmic Government

Rajan Gupta · Sanjana Das · Saibal Kumar Pal

មីនា 2023 · Springer Nature

សៀវភៅអេឡិចត្រូនិច

ទំព័រ

ការវាយតម្លៃ និងមតិវាយតម្លៃមិនត្រូវបានផ្ទៀងផ្ទាត់ទេ ស្វែងយល់បន្ថែម

អំពីសៀវភៅអេឡិចត្រូនិកនេះ

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, the confluence of edge computing and AI, is the primary focus of this book. It also discusses how one can incorporate these concepts in algorithmic government through conceptual framework and decision points. Finally, the research work emphasizes some design challenges in edge computing from applications viewpoint. This book will be helpful for data engineers, data scientists, cloud engineers, data management experts, public policymakers, administrators, research scholars and academicians.

អំពីអ្នកនិពន្ធ

Dr. Rajan Gupta is Vice President and Head of Research and Analytics Division at Analyttica Datalab, India, and has done Postdoc in Data Science and Modelling from CITAM Lab, UNG Slovenia. He has authored 4 books and more than 75 papers in the area of e-governance, algorithmic government, information systems, security and data science.

Ms. Sanjana Das is an AI enthusiast currently enrolled with Deen Dayal Upadhyaya College, University of Delhi, India, for research work. Her research area includes data science, edge computing, and artificial intelligence.

Dr. Saibal K. Pal is a Senior Scientist at Scientific Analysis Group, Defence Research & Development Organization (DRDO), Delhi. He has formerly served as Director of IT and Cyber Security at National Level for DRDO, India, and has authored more than 200 publications in the area of e-governance, algorithmic government, information systems, security and data science.

វាយតម្លៃសៀវភៅអេឡិចត្រូនិកនេះ

ប្រាប់យើងអំពីការយល់ឃើញរបស់អ្នក។

អានព័ត៌មាន

ទូរសព្ទឆ្លាតវៃ និងថេប្លេត

ដំឡើងកម្មវិធី Google Play Books សម្រាប់ Android និង iPad/iPhone ។ វាធ្វើសមកាលកម្មដោយស្វ័យប្រវត្តិជាមួយគណនីរបស់អ្នក និងអនុញ្ញាតឱ្យអ្នកអានពេលមានអ៊ីនធឺណិត ឬគ្មានអ៊ីនធឺណិតនៅគ្រប់ទីកន្លែង។

កុំព្យូទ័រយួរដៃ និងកុំព្យូទ័រ

អ្នកអាចស្ដាប់សៀវភៅជាសំឡេងដែលបានទិញនៅក្នុង Google Play ដោយប្រើកម្មវិធីរុករកតាមអ៊ីនធឺណិតក្នុងកុំព្យូទ័ររបស់អ្នក។

eReaders និងឧបករណ៍ផ្សេងទៀត

ដើម្បីអាននៅលើឧបករណ៍ e-ink ដូចជាឧបករណ៍អានសៀវភៅអេឡិចត្រូនិក Kobo អ្នកនឹងត្រូវទាញយកឯកសារ ហើយផ្ទេរវាទៅឧបករណ៍របស់អ្នក។ សូមអនុវត្តតាមការណែនាំលម្អិតរបស់មជ្ឈមណ្ឌលជំនួយ ដើម្បីផ្ទេរឯកសារទៅឧបករណ៍អានសៀវភៅអេឡិចត្រូនិកដែលស្គាល់។

រាយការណ៍អំពីខ្លឹមសារខុសច្បាប់