Embedded Artificial Intelligence (Record no. 10287)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02983 a2200565 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250526161926.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250430042025xx 144 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781032766607 |
| Qualifying information | BB |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 155.00 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
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| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 006.3 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Arpita Nath Boruah |
| 9 (RLIN) | 399 |
| 245 10 - TITLE STATEMENT | |
| Title | Embedded Artificial Intelligence |
| Remainder of title | Real-Life Applications and Case Studies |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | Chapman and Hall/CRC |
| Date of publication, distribution, etc. | 20250327 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 310 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | 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. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mrinal Goswami |
| Relationship | B01 |
| 9 (RLIN) | 400 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Manoj Kumar |
| Relationship | B01 |
| 9 (RLIN) | 401 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Octavio Loyola-González |
| Relationship | B01 |
| 9 (RLIN) | 402 |
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