000			03141nam a22003737a 4500
003			pucpr
005			20230119163727.0
008			211208s2022 enkado b 001 0 eng d
020			_a1914124014 _qpaperback
020			_a9781914124013 _qpaperback
020			_a9781000600681 _qePub ebook
020			_a9781000600674 _qPDF ebook
020			_a9781003297192 _qebook _z
040			_apucpr _beng _cpucpr _dpucpr _erda
049			_aCARIBET
050		4	_aNA2543.T43 _bB47 2022
082	0	4	_223 _a720.28563
100	1		_aBernstein, Phil,
245	1	0	_aMachine learning : _barchitecture in the age of artificial intelligence. / _cPhil Bernstein. _htxt
264		1	_aLondon : _bRIBA Publishing, _c2022.
300			_axi, 186 p. : _bill. ; photo. ; graph. ; col. ; _c24 cm. _fbook
336			_2rdacontent _atext _btxt
336			_2rdacontent _astill image _bsti
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references and index.
505			_aFront Materials: Introduction VI -- Process: Tools and technologies -- What is artificial intelligence (Al)? -- Professional information and knowledge -- AI and process Transformation in design and beyond -- Scopes of service -- Delivery, means and methods -- Relationships: Economics, compensation and value -- Laws, policy and risk -- The demand for professionals -- Education, certification and training -- Results: The objectives of design -- Creating, consuming and curating Data -- Tasks, automated -- Labour of design -- Value propositions and business models -- End Materials: Conclusion --
520	8		_aThe advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.' - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture's best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections - Process, Relationships and Results - Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: * Professionalism * Tools and technologies * Laws, policy and risk * Delivery, means and methods * Creating, consuming and curating data * Value propositions and business models.
650		0	_aArchitecture and technology.
650		0	_aArtificial intelligence _xIndustrial applications.
650		7	_2fast _aArchitecture and technology.
650		7	_2fast _aArtificial intelligence _xIndustrial applications.
942			_2lcc _c6 _hNA2543.T43 _kGeneral _mB47 2022
999			_c299358 _d299358