We look at Generative Adversarial Networks (GAN), the architecture discipline that has been observing with increased interest how this Machine Learning method can be used creatively to explore design variations.
We look at Generative Adversarial Networks (GAN), the architecture discipline that has been observing with increased interest how this Machine Learning method can be used creatively to explore design variations.
2.00 RIBA - The Royal Institute of British Architects Points 3.00 AIA - American Institute of Architects USA Points 3.00 Australian CPD ACT-SA-NT Points 3.00 Australian QLD - NSW - TAS - WA Points 20.00 NZRAB Points
Teulo and DK
Photographs increasingly influence the way in which Architecture is perceived around the world. Whilst, material system research, applications and design modelling and 3D sculpting for complex geometry and soft materials is now the way of programming for architecture and design.
Matias del Campo: Principal SPAN Baukunst LLC III Co-Chair ACADIA 2020 /// Co-Chair DigitalFUTURES 2020
"Towards Neural Architecture"
"Since the introduction of Generative Adversarial Networks (GAN) in 2015, the architecture discipline has been observing with increased interest how this Machine Learning method can be used creatively to explore design variations. By pitting 2 Neural Networks against each other, GAN's are able to generate results as images or even 3D models that profoundly question the current ontological thinking in architecture. They represent a departure from top down design methods based on the experience and education of individual architects and instead rely on extensive databases of images (or 3D models) of architecture and architecture components. As these databases can be further informed by data from other areas (economic, ecologic, social but also artistic, philosophical etc), they result in an architecture that is new, surprising and occasionally challenging for the observer - provoking questions about authorship, agency, and what it means to be human. Similar discussions are currently going on in the arts, where artists working with Machine Learning methods are exploring similar intellectual frameworks. For this new area of architecture inquiry I propose the name "Neural Architecture"
Chahid Kairouz: C. Kairouz Architects
C.Kairouz Architects we believe in innovation and smart, high-quality architecture that makes sense – in both design and budget. We understand we have a social responsibility. Our focus is on people, to create value-adding, sustainable solutions for our clients, residents, suburbs and cities alike.
Founded in 2010 by Managing Director, Chahid Kairouz, the practice was formed from humble beginnings, and has since grown to encompass a strong, diverse team of individuals, who each bring with them their own unique story & experience.
With close to 800 completed projects to our name and an industry reputation for
excellence and 'hands on' service, we continually deliver a variety of commercial, multi-residential and bespoke home projects throughout Melbourne and Australia.
Well-known for our award winning work in urban development, in 2019, WH
Architects joined the team as a collaborative partner bringing a wealth of experience under the guidance of Founder & Director Wojciech Huczek. Wojciech's 30+ years experience brought a unique response and dedicated professionalism to our projects, in particular commercial and industrial developments.
Ali Asmar: Safetyline Jalousie
Ali will talk about ventilation and louvres and the way they can create a healthy home and better environment for us to live in.
Learning outcomes and AACA competencies:
3.2, 4.1, 5.1 (design and documentation)