MARC Record from marc_columbia

LEADER: 06247cam a2200637 i 4500
001 15491047
005 20220423235859.0
006 m o d
007 cr cnu---unuuu
008 210518s2021 enk ob 001 0 eng d
035 $a(OCoLC)on1251637365
035 $a(NNC)15491047
040 $aTYFRS$beng$erda$epn$cTYFRS$dOCLCO$dTYFRS$dN$T$dUKAHL$dAFU$dOCLCO
020 $a9780367824259$q(electronic bk.)
020 $a0367824256$q(electronic bk.)
020 $a9781000372410$q(electronic bk. : EPUB)
020 $a1000372413$q(electronic bk. : EPUB)
020 $a1000372375$q(electronic bk. : PDF)
020 $a9781000372373$q(electronic bk.)
020 $z9780367424589
020 $z0367424584
035 $a(OCoLC)1251637365
037 $a9780367824259$bTaylor & Francis
050 4 $aNA2543.T43$bR68 2021eb
072 7 $aARC$x013000$2bisacsh
072 7 $aCOM$x004000$2bisacsh
072 7 $aAM$2bicssc
082 04 $a720/.47$223
049 $aZCUA
245 04 $aThe Routledge companion to artificial intelligence in architecture /$cedited by Imdat As and Prithwish Basu.
264 1 $aAbington, Oxon ;$aNew York :$bRoutledge,$c2021.
300 $a1 online resource (1 volume) :$billustrations (black and white).
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
520 $a"Providing the most comprehensive source available, this book surveys the state of the art in Artificial Intelligence (AI) as it relates to architecture. Organised in four parts: theoretical foundations, tools and techniques; AI in research and AI in architectural practice it provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains twenty-five consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, India, China and Japan. It articulates current theoretical and practical methods, offers critical views on tools and techniques and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference"--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
505 0 $aBackground, history and theory of AI -- AI tools, methods and techniques -- AI in architectural research -- Case studies of AI in architecture.
545 0 $aImdat As is the recipient of the prestigious International Fellowship for Outstanding Researchers and a grant from the Scientific and Technological Research Council of Turkey (TUBITAK) and researches and teaches at the Istanbul Technical University (ITU). Imdat received his BArch from the Middle East Technical University (METU), his MSc in architecture from the Massachusetts Institute of Technology(MIT), and his doctorate from the Harvard University Graduate School of Design. He has coauthored Dynamic Digital Representations in Architecture: Visions in Motion (Taylor & Francis, 2008). In 2011, he founded Arcbazar.com, a first-of-its-kind crowdsourcing platform for architectural design, which has been featured as one of the "Top 100 Most Brilliant Companies" by Entrepreneur magazine. In 2017, he used Arcbazar's design data through a DARPA-funded research project to generate conceptual designs via artificial intelligence (AI). Imdat is currently heading the City Design through Design Intelligence (CIDDI) lab at ITU and investigates the impact of emerging technologies on urban morphology and the future of the city. Prithwish Basu is a principal scientist at Raytheon BBN Technologies (BBN). He has a PhD in computer engineering from Boston University (2003) and a BTech in computer science and engineering from the Indian Institute of Technology (IIT), Delhi (1996). Prithwish has been the Principal Investigator of several U.S. government funded research projects on networking and network science during his 17-year tenure at BBN. He was the Program Director for U.S. Army Research Laboratory's Network Science Collaborative Technology Alliance (NS CTA) program, which ran from 2009 until early 2020, and made fundamental contributions to advancing the state-of-the-art for the science of dynamic intertwined multigenre networks. Prithwish also led the DARPA-funded Fundamental Design (FUN Design) in 2017-2018, which explored the application of state-of-the-art AI/ML algorithms for graphs encoding architectural design data. Currently, he is leading the development of algorithms in the DARPA-funded FastNICs program for speeding up deep neural network (DNN) training by automatically parallelizing DNN workloads on fast network hardware. Prithwish recently served as an associate editor for the IEEE Transactions of Mobile Computing and was the lead guest editor for the IEEE Journal of Selected Areas in Communications (JSAC) special issue on network science. He has co-authored over 110 peer-reviewed articles (in conferences, journals, and book chapters) and has won the best paper award at IEEE NetSciCom 2014 and PAKDD 2014. He was also a recipient of the MIT Technology Review's TR35 (Top 35 Innovators Under 35) award in 2006.
588 0 $aPrint version record.
650 0 $aArchitecture and technology.
650 0 $aArtificial intelligence.
650 2 $aArtificial Intelligence
650 6 $aArchitecture et technologie.
650 6 $aIntelligence artificielle.
650 7 $aartificial intelligence.$2aat
650 7 $aARCHITECTURE / Study & Teaching$2bisacsh
650 7 $aCOMPUTERS / Artificial Intelligence$2bisacsh
650 7 $aArchitecture and technology.$2fast$0(OCoLC)fst00813591
650 7 $aArtificial intelligence.$2fast$0(OCoLC)fst00817247
655 4 $aElectronic books.
700 1 $aAs, Imdat,$eeditor.
700 1 $aBasu, Prithwish,$eeditor.
776 08 $iPrint version:$tRoutledge companion to artificial intelligence in architecture.$dAbington, Oxon ; New York : Routledge, 2021$z9780367424589$w(DLC) 2020047524$w(OCoLC)1201662955
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15491047$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS