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Design Journal exploring possibilities of Artificial Intelligence in design processes. This blog is as part of my on-going research projects for my honours year at Monash University. Find more of my work IG : @elkenchong Portfolio: www.elkenchong.com

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[sk.04] - Cantenary Lines From A to B via cantenary line behavior

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[sk.03] - Growth and Stability

Being able to find stability during growth is a natural thing. Finding structure through chaos tends to give rise to unpredictable outcomes.

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[sk.02] - Evolutionary Solver test 1.0

Motivated by the idea of evolution in design, I experimented with evolutionary design systems where design a cross breeding algorithm is used to calculate level of fitness of each iteration. This is repeated until stability and optimal design solution are achieved.

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AI & Kennedy : Legend That Thing | Nike (generated by a neural network)

IF YOU CAN’T BEAT IT, LEGEND THAT THING!

CO-Design between Copy Writer and Creative AI for a ‘Faux-advertisement’ campaign for Nike.

Collaboration between Artificial intelligence and human creativity is not that far-fetched on an idea. Both AI and human creativity are based on the same principles, which is analysis and synthesis. For instance, the video shows word generation based on advertising data, more specifically commercials manifestos, to generate this ad. 

The result — which I named “AI and Kennedy” — is a schizophrenic journey of motivation bordering on the unintelligible. But between these absurd lines, I observed, with a chill, a touch of genius. Maybe the claim that an AI can do it, isn’t so crazy after all.

Something, that is worth pointing out here is that the results are commercially viable, which is a sign that AI has potential and can do it after all. The commercial was collaboratively created by both the input of the human and the computer.

[W114-2] Ref

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Ceramic sculptures by Juliette Clovis

Despite being manually constructed, the sculpture references the algorithmic nature of nature. The form features clusters and recursive/fractals in its visual language. The geometries are influenced by a simplified representation of nature’s code and replicates its behaviour.

See more at  https://www.julietteclovis.com

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[sk.01]_PointCloud to Interpolated Lines Sketch

Pulling data from the random library to set up point cloud.

Connecting the dots between them using Interpolated lines. The sketch is a simple code which generates 3D forms.

import rhinoscriptsyntax as rs import Rhino.Geometry as rg import random as rn

pts = []

for i in range (50):    xpos = rn.random() * 25    ypos = rn.random() * 25    zpos = rn.random() * 25    pts.append( (xpos, ypos, zpos) )

pointcloud = rs.AddPointCloud(pts) selObj = rs.SelectObject(pointcloud) rs.Command(“_explode _Enter”) curves = rs.AddInterpCurve(rs.SelectedObjects() ) rs.DeleteObjects(rs.SelectedObjects() ) rs.AddPipe(curves, 0, 4)

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https://brandmark.io

Currently looking for applications of artificial intelligence in the design process. This is a web application consisting of an intelligent system for logo design. 

I gave it a try. The initial process is very quick. You are conceptually defining the brief and limits of the design and also ‘teaching’ the system your required design language based on your preferences.  The iterations were quite bland and did not really have the expected impact. The system could benefit non-designers, however the system is still limited and requires some more training.

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Evolving Floor Plans

What will the future building look like ?  Joel Simon here shows his take at defining the future of built environments. His background in biology and computer science brings a novel way of designing floor plans based on biological patterns such as genetic evolution.  Ideas such as clusters and optimisation methodologies are present in the design process. These models are heavily reliant on emerging building manufacturing techniques such as additive manufacturing.

See more by clicking the link below https://www.dezeen.com/2019/01/03/evolving-floor-plans-research-joel-simon/

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REACTION-DIFFUSION

Reaction-diffusion takes into consideration cell growth/decay rate. The form upon reaching stability is an optimised structure.

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Hyperganic uses AI to design a 3D-printed rocket engine

German software company Hyperganic has developed a rocket engine prototype, that was designed from scratch by an algorithm based only off of data stored in a spreadsheet.

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renaissance

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L-systems and recursive functions can simulate organic growth based on mathematical procedures

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A.I., without culture, without memory, without influence, replied simply with intelligence, it’s “artificial” intelligence.

Phillipe Starck