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The role of artificial intelligence
in architectural design
Conversation with designers
and researchers
Giuseppe Gallo
Giovanni Francesco Tuzzolino
University of Palermo
Fulvio Wirz
University of East London
S.ARCH
April 2020 Tokyo
7th International conference on Architecture and built environment
The field of Artificial
Intelligence.
1950 Alan Turing: Can a computer
imitate human intelligence?
1955 Artificial intelligence described
as a research field by John Mc Carthy
From ruled based systems
to machine learning,
natural language processing
neural networks, etc.
2000 Proliferation
of Big Data and GPU
Deep Neural networks
Larger applications of AI
Now
What do we mean by
Artificial Intelligence?
Artificial Intelligence Machine Learning
A powerful technology.
In March 2016 AlphaGo
beat Lee Sedol.
A possible threat?
“The development of full artificial intelligence
could spell the end of the human race”.
Stephen Hawking, 2014.
Will Artificial intelligence be
useful in Architecture?
Answers to: Order the following technologies for the
usefulness they will have in Architecture over the next 10 years.
Digital
Manufacturing
7
5
5
6
1
6
6
6
5
4
Machine
Learning
4
3
6
7
2
4
7
7
6
7
VR
1
1
3
3
3
3
4
4
6
2
AR
3
4
4
4
4
3
5
4
5
1
IOT
2
2
2
5
5
5
2
5
4
6
Other Comp.
Methods
6
7
1
2
7
7
3
3
7
4
BIM
5
6
7
1
7
2
1
2
3
3
Arthur Mamou Mani
Al Fisher
Andres Klok Pedersen
Aurélie de Boissieu
Daniel Davies
Edoardo Tibuzzi
Harry Ibbs
Irene Gallou
Pablo Zamorano
Xavier de Kestellier
51533037384737Total (70)
A moment of Experimentation.
A totally different approach.
More skills in programming and statistics.
Higher computing power.
Training an AI can take even weeks of CPU time.
Power and limits of data.
Data largerly influence outputs.
We need a lot data to obtain coherent results.
Data means responsibility.
Data define the capabilities
of an algorithm.
“If you show them modern
architecture, they will only be able
to create modern architecture”.
Which data can Architects use?
Offices can use their legacy knowledge.
Architects can acquire new data,
or create them.
Simulations as a source of data.
A Deep neural network trained with
billions of Computational fluid
dynamics simulations can instantly
provide a building wind behaviour model.
Current contributions and expectations.
Advanced AI showed great capabilites in areas with
a well defined set of rules.
Not to be considered as a magic bullet,
it is a difficult and complex technology.
Best results come from coordinative approachs.
Can AI face the multidimensional
complexity of Architecture?
Fields disrupted by AI have linear nature than our field.
Can we describe architecture processes complexity so that
a machine can process it? Surely not now.
Present and near future.
A magnificent assistant able to remember all
the experience acquired throught well organized
data and quickly return feedbacks.
Conclusions
There is confidence that AI will have a major
role in Architecture over the next ten years.
The relationship between profession and
advanced AI methods is in a pioneering state.
Data must be many and
coherently organized.
A distruptive effect on our profession is
excluded right now.
AI strategies require confidence with
statistics, programming skills and parallel
computing capabilities.
Great results in a limited areas, even proposing
spatial configurations when boundary
conditions are duly defined.
Advanced AI will erode the architect’s practice.
The role of software houses remains
to be investigated.
Contacts
Giuseppe Gallo, Ph.D. Candidate,
University of Palermo
Architect e designer, former visiting
academic at the University of East London
and creative director of the interdisciplinary
design agency Mirabilia. The topics on which
he focuses his research are the evolution
of the architectural project, digital design
methods, communication design and
participation.
giuseppe.gallo03@unipa.it
Fulvio Wirz, Senior Lecturer,
University of East London
Architect and senior lecturer at the
University of East London where he is also
Head of dFUEL (digital fabrication UEL).
He holds a PhD in digital design and long
experience in the field as an associate at
Zaha Hadid Architects where he led multiple
international projects.
f.wirz@uel.ac.uk
Giovanni Francesco Tuzzolino, Full
Professor, University of Palermo
Architect, Full Professor of Architecture
and Urban Composition at the University
of Palermo, he taught at several foreign
universities as al-Al Bayth University
Jordan, Drexel University USA, ENSA Paris
France. Author of numerous essays and
books, founder of Tuzzolino-Margagliotta
Associates, architectural which carried out
international projects and won prizes and
awards.
giovannifrancesco.tuzzoIino@unipa.it

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Presentazione of: The role of Artificial Intelligence in architectural design, conversation with designers and researchers

  • 1. The role of artificial intelligence in architectural design Conversation with designers and researchers Giuseppe Gallo Giovanni Francesco Tuzzolino University of Palermo Fulvio Wirz University of East London S.ARCH April 2020 Tokyo 7th International conference on Architecture and built environment
  • 2. The field of Artificial Intelligence. 1950 Alan Turing: Can a computer imitate human intelligence? 1955 Artificial intelligence described as a research field by John Mc Carthy From ruled based systems to machine learning, natural language processing neural networks, etc. 2000 Proliferation of Big Data and GPU Deep Neural networks Larger applications of AI Now
  • 3. What do we mean by Artificial Intelligence? Artificial Intelligence Machine Learning
  • 4. A powerful technology. In March 2016 AlphaGo beat Lee Sedol.
  • 5. A possible threat? “The development of full artificial intelligence could spell the end of the human race”. Stephen Hawking, 2014.
  • 6. Will Artificial intelligence be useful in Architecture? Answers to: Order the following technologies for the usefulness they will have in Architecture over the next 10 years. Digital Manufacturing 7 5 5 6 1 6 6 6 5 4 Machine Learning 4 3 6 7 2 4 7 7 6 7 VR 1 1 3 3 3 3 4 4 6 2 AR 3 4 4 4 4 3 5 4 5 1 IOT 2 2 2 5 5 5 2 5 4 6 Other Comp. Methods 6 7 1 2 7 7 3 3 7 4 BIM 5 6 7 1 7 2 1 2 3 3 Arthur Mamou Mani Al Fisher Andres Klok Pedersen Aurélie de Boissieu Daniel Davies Edoardo Tibuzzi Harry Ibbs Irene Gallou Pablo Zamorano Xavier de Kestellier 51533037384737Total (70)
  • 7. A moment of Experimentation. A totally different approach. More skills in programming and statistics. Higher computing power. Training an AI can take even weeks of CPU time.
  • 8. Power and limits of data. Data largerly influence outputs. We need a lot data to obtain coherent results. Data means responsibility.
  • 9. Data define the capabilities of an algorithm. “If you show them modern architecture, they will only be able to create modern architecture”.
  • 10. Which data can Architects use? Offices can use their legacy knowledge. Architects can acquire new data, or create them.
  • 11. Simulations as a source of data. A Deep neural network trained with billions of Computational fluid dynamics simulations can instantly provide a building wind behaviour model.
  • 12. Current contributions and expectations. Advanced AI showed great capabilites in areas with a well defined set of rules. Not to be considered as a magic bullet, it is a difficult and complex technology. Best results come from coordinative approachs.
  • 13. Can AI face the multidimensional complexity of Architecture? Fields disrupted by AI have linear nature than our field. Can we describe architecture processes complexity so that a machine can process it? Surely not now.
  • 14. Present and near future. A magnificent assistant able to remember all the experience acquired throught well organized data and quickly return feedbacks.
  • 15. Conclusions There is confidence that AI will have a major role in Architecture over the next ten years. The relationship between profession and advanced AI methods is in a pioneering state. Data must be many and coherently organized. A distruptive effect on our profession is excluded right now. AI strategies require confidence with statistics, programming skills and parallel computing capabilities. Great results in a limited areas, even proposing spatial configurations when boundary conditions are duly defined. Advanced AI will erode the architect’s practice. The role of software houses remains to be investigated.
  • 16. Contacts Giuseppe Gallo, Ph.D. Candidate, University of Palermo Architect e designer, former visiting academic at the University of East London and creative director of the interdisciplinary design agency Mirabilia. The topics on which he focuses his research are the evolution of the architectural project, digital design methods, communication design and participation. giuseppe.gallo03@unipa.it Fulvio Wirz, Senior Lecturer, University of East London Architect and senior lecturer at the University of East London where he is also Head of dFUEL (digital fabrication UEL). He holds a PhD in digital design and long experience in the field as an associate at Zaha Hadid Architects where he led multiple international projects. f.wirz@uel.ac.uk Giovanni Francesco Tuzzolino, Full Professor, University of Palermo Architect, Full Professor of Architecture and Urban Composition at the University of Palermo, he taught at several foreign universities as al-Al Bayth University Jordan, Drexel University USA, ENSA Paris France. Author of numerous essays and books, founder of Tuzzolino-Margagliotta Associates, architectural which carried out international projects and won prizes and awards. giovannifrancesco.tuzzoIino@unipa.it