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040 _aOCoLC-P
_beng
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_cOCoLC-P
020 _a9781000220063
_q(ePub ebook)
020 _a1000220060
020 _a9781000219944
_q(PDF ebook)
020 _a1000219941
020 _a9781000220001
_q(Mobipocket ebook)
020 _a1000220001
020 _a9781003057789
_q(ebook)
020 _a1003057780
020 _z9780367524098 (hbk.)
020 _z9780367524128 (pbk.)
024 8 _a10.1201/9781003057789
_2doi
035 _a(OCoLC)1230556834
035 _a(OCoLC-P)1230556834
050 4 _aQ335
072 7 _aCOM
_x012000
_2bisacsh
072 7 _aCOM
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072 7 _aCOM
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072 7 _aUB
_2bicssc
082 0 4 _a006.3
_223
100 1 _aVuppalapati, Chandrasekar,
_d1972-
_eauthor.
_914961
245 1 0 _aDemocratization of artificial intelligence for the future of humanity /
_cChandrasekar Vuppalapati.
250 _a1st.
264 1 _aBoca Raton :
_bCRC Press,
_c2021.
300 _a1 online resource :
_billustrations (black and white)
336 _atext
_2rdacontent
336 _astill image
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
505 0 _a<P><STRONG>SECTION I -- INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND FRAMEWORKS</STRONG></P><P>Introduction</P><P>What is AI? </P><P>AI Epoch's: Waves of Compute</P><P>AI Hype Cycle -- Current and Emerging Technologies</P><P>AI -- End-To-End (E2E) Process -- Turning Data into Actionable Insights</P><P>Microsoft Azure -- AI E2E Platform</P><P>AI Development Operations (DevOps) Loop for Data Science</P><P>AI -Performance and Computational Notations</P><P>AI for Greater Good -- Solving Humanity and Societal Challenges</P><P>References</P><P></P><B><P>Standard Processes and Frameworks</P></B><P>Digital Transformation</P><P>Digital Feedback Loop</P><P>Insights Value Chain</P><P>The CRISP-DM Process</P><P>Building Blocks of AI -- Major Components of AI</P><P>AI Reference Architectures</P><P>References</P><B><P>SECTION II -- DATA SOURCES AND ENGINEERING TOOLS</P><P>Data -- Call for Democratization </P></B><P>Call for Action</P><P>The Last Mile -- Constrained Compute Devices AND "AI Chasm"</P><P>References</P><B><P></P><P>Machine Learning Frameworks and Device Engineering</P></B><P>Machine Learning Device Deployments</P><P>xRC Modeling: Model Accuracy-Connectivity-Hardware (MCH) Framework</P><P>Circular Buffers</P><P>AI Democratization -- "Crossing the Chasm"</P><P>References</P><P></P><B><P>Device Software and Hardware Engineering Tools</P></B><P>Software Engineering Tools</P><P>Hardware and Engineering Tools</P><P>Libraries</P><P>References</P><P><B>SECTION III -- MODEL DEVELOPMENT AND DEPLOYMENT</P><P>Supervised Models </P></B><P>Decision Trees</P><P>XGBoost</P><P>Random Forrest</P><P>Naïve Bayesian</P><P>Linear Regression</P><P>Kalman Filter</P><P>References</P><P></P><B><P>Unsupervised Models</P></B><P>Hierarchical Clustering</P><P>K-Means Clustering</P><P>References</P><B><P>SECTION IV -- DEMOCRATIZATION AND FUTURE OF AI</P><P>National Strategies </P></B><P>National Technology Strategies for Serving People</P><P>The United Nations AI Technology Strategy </P><P>The role of the UN </P><P>AI in the Hands of People </P><P>References</P><B><P></P><P>Future </P></B><P>Democratization of Artificial Intelligence for the Future of Humanity </P><P>Dedication</P><P>Acknowledgement</P><P>Preface</P><P></P><B><P>Appendix </P><P></P><P>Index</P></B>
520 _aArtificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance. It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no connectivity and/or powered by non-perpetual source or battery power. The aim this book is to prepare current and future software engineering teams with the skills and tools to fully utilize AI capabilities in resource-constrained devices. The book introduces essential AI concepts from the perspectives of full-scale software development with emphasis on creating niche Blue Ocean small form factored computational environment products.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aArtificial intelligence
_xSocial aspects.
_916710
650 0 _aArtificial intelligence
_xIndustrial applications.
_95729
650 0 _aArtificial intelligence
_xGovernment policy.
_916711
650 7 _aCOMPUTERS / Computer Graphics / General
_2bisacsh
_912490
650 7 _aCOMPUTERS / Machine Theory
_2bisacsh
_916712
650 7 _aCOMPUTERS / Programming / Systems Analysis & Design
_2bisacsh
_912930
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003057789
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c71318
_d71318