Editor at 11:15, 26 June 2024

2024-06-26T11:15:13Z

← Older revision		Revision as of 11:15, 26 June 2024
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	'These are made up of two sub artificial neural networks: a generator network and a discriminator network. The generator network is fed training data and generates artificial data based on patterns in training data. The discriminator network compares the artificially generated data with the ‘real’ training data and feeds back to the generator network where it has detected differences. The generator then alters its parameters. Over time the generator network learns to generate more realistic data, until the discriminator network cannot tell what is artificial and what is ‘real’ training data and the AI model generates the desired outcomes. See also artificial neural networks and transformers.'		'These are made up of two sub artificial neural networks: a generator network and a discriminator network. The generator network is fed training data and generates artificial data based on patterns in training data. The discriminator network compares the artificially generated data with the ‘real’ training data and feeds back to the generator network where it has detected differences. The generator then alters its parameters. Over time the generator network learns to generate more realistic data, until the discriminator network cannot tell what is artificial and what is ‘real’ training data and the AI model generates the desired outcomes. See also artificial neural networks and transformers.'

−	See ~~[https://www.designingbuildings.co.uk/wiki/Generative_AI~~ generative AI], large language models and ~~[https://www.designingbuildings.co.uk/wiki/The_long_expanding_list_of_AI_tools_for_building_planning,_design,_construction_and_management~~ The long expanding list of AI tools for building planning, design, construction and management].	+	See generative AI, large language models and The long expanding list of AI tools for building planning, design, construction and management.

	= Related articles on Designing for Buildings =		= Related articles on Designing for Buildings =

Editor: Created page with "The '[https://d8.ciob.org/industry/research/AI-Playbook CIOB Artificial Intelligence (AI) Playbook 2024]', glossary of terms, published by the Chartered Institute of Building(CIO..."

2024-06-26T11:14:51Z

Created page with "The '[https://d8.ciob.org/industry/research/AI-Playbook CIOB Artificial Intelligence (AI) Playbook 2024]', glossary of terms, published by the Chartered Institute of Building(CIO..."

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The '[https://d8.ciob.org/industry/research/AI-Playbook CIOB Artificial Intelligence (AI) Playbook 2024]', glossary of terms, published by the Chartered Institute of Building(CIOB) describes generative adversarial networks as a driver of recent AI developments.

'These are made up of two sub artificial neural networks: a generator network and a discriminator network. The generator network is fed training data and generates artificial data based on patterns in training data. The discriminator network compares the artificially generated data with the ‘real’ training data and feeds back to the generator network where it has detected differences. The generator then alters its parameters. Over time the generator network learns to generate more realistic data, until the discriminator network cannot tell what is artificial and what is ‘real’ training data and the AI model generates the desired outcomes. See also artificial neural networks and transformers.'

See [https://www.designingbuildings.co.uk/wiki/Generative_AI generative AI], large language models and [https://www.designingbuildings.co.uk/wiki/The_long_expanding_list_of_AI_tools_for_building_planning,_design,_construction_and_management The long expanding list of AI tools for building planning, design, construction and management].

= Related articles on Designing for Buildings =

* AI building design tools
* Artificial intelligence and civil engineering.
* Artificial Intelligence and its impact on the project profession.
* Artificial intelligence and surveying.
* Artificial intelligence for smarter, safer buildings.
* Artificial intelligence in buildings.
* BSRIA publishes Artificial Intelligence in Buildings white paper.
* Building automation and control systems.
* Building information modelling.
* Computer aided design CAD.
* Computers in building design.
* Generative design.
* Global building automation.
* Internet of things.
* Parametric design.
* Predictive analytics.
* The impact of digital on civil engineering.
* The long expanding list of AI tools for building planning, design, construction and management.
* Will AI ever be able to design buildings?

[[Category:DCN_Definition]] [[Category:Definitions]]

Generative adversarial networks - Revision history

Editor at 11:15, 26 June 2024

Editor: Created page with "The '[https://d8.ciob.org/industry/research/AI-Playbook CIOB Artificial Intelligence (AI) Playbook 2024]', glossary of terms, published by the Chartered Institute of Building(CIO..."