This article was contributed by Vital Shpakouski who is a copywriter at Mellowpromo.
Back in the middle of the last century, artificial intelligence was a term in science fiction. In popular culture, the concept of AI is primarily associated with fiction – for example, the same “3 Laws of Robotics” were formulated by Isaac Asimov, a classic of science fiction.
Now, mysterious images from the past have been replaced by quite concrete technologies of the present. The most popular and discussed of them is machine learning and, in particular, neural networks. These terms describe the self-learning of a system, which allows it to evolve and collect the necessary “texture” directly in the process of work.
Among other things, machine learning and neural networks can be used in generative design. Let’s find out what it is.
An Ideal Duo
Generative, or generative, design is a special approach to creating a project that involves “cooperation” between humans and artificial intelligence. Generative design is based on a system capable of producing the required result depending on the parameters entered.
The role of a human in generative design is very simple: you need to enter a request and the necessary constraints into the system. AI performs all further work independently: it analyzes the conditions, looks for solutions, and tests the found variants to select the best ones.
Spheres of Application
In industrial design, a generative approach allows the construction and design of products using predetermined parameters. Using generative design, it is possible to synthesize a practical product form that reduces manufacturing costs – time and materials – without compromising the quality of the final result. Among other things, generative design is used to create medical implants, sports equipment, and parts of complex machinery.
In architecture, generative technologies help to create mathematically accurate virtual models of buildings, which take into account all parameters of the object – including its future location, design solutions, technologies, economic costs, and even future operation. Thanks to generative design it is possible to reduce the cost of design and direct construction by 50-60%.
In graphic design, the usefulness of the generative approach is very clear. It can be used to create a brand identity from scratch, generate thousands of different variations of designs and emblems according to a predefined algorithm (ideal for packaging, poster, or badge design), and visualize data using infographics.
Generative Web Design
Such technologies could not help but interest web designers. In the field of website and application development, Generative AI Design tools are used for a variety of purposes.
Site layout by neural networks – an interesting approach to the usual process: it turns out that a full-fledged original web page is quite realistic to generate on the basis of an ordinary layout. The system is able to automatically create the code of the page, customizing the design and layout that suits it. This saves a person from routine and gives him the opportunity to fill the already ready site with the necessary content.
Automatic redesign with the help of generative technologies – a practical and spectacular feature that magically transforms an outdated site into a modern and stylish one, preserving all the content published on it and the overall structure. The final result is unlikely to satisfy perfectionists who expect meaningfulness and functionality from the new design, but in general, the tool is more useful than not.
Web typography – in our opinion, the most interesting and futuristic aspect of generative web design. Technologies that generate unique fonts based on existing fonts are already available – and they turn out very well! Among the obvious advantages of “generative” fonts – are the absence of the author and subtle differences in their appearance.
Generative design is the realization of the ideas of futurists and dreamers in reality. A vivid example of the fusion of science and art, math and painting, human and artificial intelligence. In essence, these technologies help us to create the new at the expense of the old while continuing our own learning.
Whether this is good or bad is still a philosophical question. In areas that require precise calculations and mathematically perfect designs, generative design seems to be an extremely useful technology today.
On the other hand, in the field of art and bordering fields (including graphic and web design), the “machine” is unlikely to ever surpass humans. After all, the artist will always have one important advantage over the “collective experience” of neural networks: subjective perception of beauty.
About the author
Vital Shpakouski is a philologist, professional translator, former volunteer and teacher, entrepreneur, and seller with 13 years of experience. Now he is a copywriter at Mellowpromo, writing about everything that helps a business grow and develop.
Last Updated on March 19, 2024 1:46 pm CET
