02983    a2200565   450000500170000000800420001702000220005903700360008104000070011704100080012407200150013207200150014707200150016207200150017707200160019207200150020807200150022307200150023807200160025307200130026907200130028207200130029507200130030807200140032107200130033507200130034807200130036107200140037407200210038807200210040907200210043007200210045107200210047207200210049307200210051407200210053507200210055607200210057707200170059810000280061524500780064325000060072126000350072730000100076252015330077270000290230570000260233470000400236099900170240020250526161926.0250430042025xx        144           eng    a9781040304747qEA  bTaylor & FranciscGBP 49.99fBB  a01  aeng7 aUYQ2thema7 aUMZ2thema7 aULR2thema7 aUYF2thema7 aUYZF2thema7 aURD2thema7 aUBL2thema7 aUKC2thema7 aTJFM2thema7 aUYQ2bic7 aUMZ2bic7 aULR2bic7 aUYF2bic7 aUYZF2bic7 aURD2bic7 aUBL2bic7 aUKC2bic7 aTJFM2bic7 aCOM0920002bisac7 aCOM0590002bisac7 aCOM0180002bisac7 aCOM0950002bisac7 aCOM0410002bisac7 aCOM0512402bisac7 aCOM0514402bisac7 aCOM0960002bisac7 aCOM0430502bisac7 aCOM0380002bisac7 a006.32bisac1 aArpita Nath Boruah939110aEmbedded Artificial IntelligencebReal-Life Applications and Case Studies  a1  bChapman and Hall/CRCc20250328  a324 p  bThis 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.1 aMrinal Goswami4B0193921 aManoj Kumar4B0193931 aOctavio Loyola-González4B019394  c10285d10285