Why product development with generative design and AI will gain momentum

Zaha Hadid Architects, for example, used generative design to create a striking facade for the Opus Tower in Dubai. The design features a complex pattern of irregular hexagonal shapes, which were optimized using generative design algorithms to minimize solar heat gain and maximize natural light. With generative design, designers can rapidly explore and assess multiple design options in a fraction of the time it would take to manually create them. This means that designers can iterate through designs more quickly, ultimately leading to faster time-to-market and greater innovation. Generative design allows designers to input design parameters and constraints and then produces hundreds or thousands of optimized design options. These options can then be ranged based on a number of criteria, including cost, weight, strength, and more.

Generative design enables designers to explore design options that would be difficult or impossible to achieve through traditional design methods. By allowing the computer to develop designs, designers can push the boundaries of what is possible, leading to more innovative and creative designs. By using algorithms and advanced simulations, generative design can streamline product performance. The generated designs are evaluated based on a range of criteria, such as performance, manufacturing feasibility, and cost.

Create a Specific Task Outline

• Explain what Generative AI is, what it can be used for, and what the potential risks are
• Create your own prompts in Generative AI tools using ChatGPT and DALL-E to produce text and media in seconds. Bryden Wood is the perfect place for this team, not least because of a happy coincidence of purpose. The Creative Technologies team provide the digital vision to match the physical vision of Design for Manufacture and Assembly (DfMA) and mass customisation – two key parts of Bryden Wood’s core purpose, Design to Value.

The potential applications are vast, ranging from virtual reality experiences to computer-aided design and creative arts. Consider, if everyone has access to the same generative development tools, templates and preset building libraries, do they really have an edge over their competitors when it comes to achieving greater development value? Finding value and area on tricky sites usually comes down to a unique site response that no one else could see. Topology optimisation begins with a human-designed CAD model concept with loads and constraints applied based on the design constraints.

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Keir Regan-Alexander is an AEC Domain Expert and Consulting Director operating at the intersection of architecture practice, sustainable development and software design. I am in favour of the former; of tools that work in partnership with the good judgement of an architects and that can improve genrative ai the work of practices and reduce the amount of waste and low-value mechanical task work currently being done by architects. To reduce some of the noise (and there is a lot of it), I decided it would be helpful to start tracking the most striking first-movers against RIBA’s ‘Plan of Work’.

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Once a knowledge gap is identified, you can use AI to create customized learning paths that help learners achieve their specific learning objectives. Generative AI can also provide recommendations for course content and structure, ensuring that the course is comprehensive and engaging. Using well-crafted prompts, following the guidelines above and the examples below, instructional designers can easily use AI tools to assist with the design of highly engaging learning material. From understanding the basics of generative AI to designing practical learning activities, this guide covers everything you need to know to use prompt engineering for instructional design and take your eLearning courses to the next level.


Not only that, they estimated they were able to shorten the design cycle by 20 per cent. Generative design is transforming the world of design engineering and has the potential to deliver on some of the broader challenges around sustainability and the circular economy. In its simplest form it is a technology in which 3D models are created by computer software allowing greater optimisation for purpose and reducing the design cycle. The sheer simplicity of approach here makes products like Archistar & Delve feel inherently client friendly and would be a real cause for concern about the reduction of our role as architects, if we were to see wider adoption by clients.

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As this domain of generative AI becomes more advanced, it’s likely that it will become easy to create images and videos of just about anything, to the extent that it becomes difficult to distinguish generative AI content from reality. This could lead to issues such as deepfakes becoming problematic, resulting in the spread of fake news and disinformation. It may become more integrated with artificial intelligence and machine learning, enabling the software to generate even more complex and sophisticated designs. It may also become more accessible and affordable, allowing smaller companies and individual designers to take advantage of its benefits.

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Still, they will then ‘open the door’ to the continuous sustainability improvements that are the aim of the legislation. Let’s look at the Generative AI examples in the Fashion Industry today, and then we’ll discuss the possibilities in the future. The DPP is key to the EU’s transition to a circular economy and will provide information about products’ environmental sustainability. It aims to improve traceability and transparency along the entire value genrative ai chain of a product and to improve the management and sharing of product-related data critical to ensuring their sustainable use, prolonged life, and circularity. To realize these benefits, Gartner’s recommendation is to connect KPIs to the generative AI use cases to ensure improved operational efficiency, higher ROI, or better user experiences. Industries adopting AM in their production lines gain access to an unconstrained manufacturing tool.

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