OPINION: ‘Generative design and AI likely to be more widely adopted very soon’

At software developer Autodesk, the futurists believe this will have a revolutionary impact on production throughout workflow, from the first initial designs down to the factory floor. When the term artificial intelligence (AI) is uttered we tend to think of super smart computers with malevolent intentions such as HAL in the film 2001, but there are many more everyday circumstances in which these advances are being applied. AI is going to impact areas of life not immediately obvious, but one area where there is tremendous scope for this technology is manufacturing.

By following these steps and consulting with Magora experts, you can create software that helps to accelerate the design process and improve product performance. As Artificial Intelligence and machine learning continue to advance, they are likely to play an increasingly important role in generative design. AI and ML algorithms can help to identify patterns and streamline designs in ways that are not possible with human intuition alone. It supports advanced topology optimization, which enables designers to create lightweight, high-strength constructions with minimal material usage. Generative design is also used in architecture to create complex facade designs and maximize building performance.

Techniques for Crafting Effective Prompts

Users can input certain goals or constraints that the software will try and meet and respect, designing out the site based on these metrics. By automating and streamlining the design process, generative design can reduce the time and cost needed to manufacture, while retaining enough human oversight to ensure that designs meet user specifications. NASA’s design process begins with a prompt, employing geometric data and physical parameters as its inputs. The generative AI tool compresses and processes everything internally and independently, creating the design, analyzing it, determining the manufactured product’s viability, and performing corrective iterations quickly.

Previously Sovelia AutoCAD has only been available for customers using AutoCAD to help create drawings consistently and standardised with the standards that Symetri has developed. This can be done natively in Spacemaker or the geometry and site can be exported to a third party application like Revit and imported back. Join more than 13,000 property professionals and sign up to receive your free daily round-up of built environment news direct to your inbox. “We can’t be blinded by profit and our economy if we want to find the right balance in terms of protecting rivers and our environment,” said John Charlesworth, senior infrastructure engineer at Hydrock. Generative AI is the new hot topic but with so many new tools and the rapid pace of technological growth, it can be hard to decide what tools actually merit investment. It was the first time anything like this had ever been done, and the results spoke for themselves.

Navigating the future of generative AI: Promises, pitfalls, and concerns around bias

The new design technology provides significantly more vehicle mass reduction and parts consolidation opportunities that cannot be achieved through traditional design optimisation methods. General Motors is using new, advanced software design technology to introduce the next generation of vehicle lightweighting. The technology is key to developing efficient and lighter alternative propulsion and zero emission vehicles. As AI becomes part of work processes and generative design becomes the norm, it seems inevitable that AI will design goods that are better suited to consumer needs, quicker, with less fuel waste, while reducing the negative impact on our planet. Simple shapes are popular in design as they’ve always been the easiest to manufacture, but with 3D printing moving towards commercially competitive speeds and costs, manufacturing is changing and more complex designs are increasingly possible.

By providing valuable features and benefits, delivering excellent support, and listening to customer feedback, companies can build a loyal customer base and generate a sustainable income from their generative design software. Generative design is already being used to optimize designs for additive manufacturing, and this trend will probably continue in the next few years. As additive manufacturing continues to advance, generative design algorithms will be able process designs in even more precise ways, further reducing material waste and boosting product performance.

AI-powered image editing tools are revolutionizing the way designers manipulate and enhance visuals. Through techniques such as image recognition, AI can automatically remove backgrounds, retouch images, or even generate entirely new visuals based on a given set of parameters. These tools not only save time but also provide designers with greater control and flexibility in their image editing process.

Most generative AI tools use data sets scraped from the web and made available for research and commercial development. Some of the organisations creating these data sets are non-profits, others are commercial companies, the relationship between the two is not always transparent. Most of these data sets scrape content directly from the web regardless of ownership, copyright, licensing and consent, which has led to legitimate concerns about all kinds of rights violations.

Valid arguments have been made about the bias of the ‘intelligence” these tools claim to generate. Because the majority of AI applications are produced in the global north, they invariably replicate a particularly white, male, Western world view, with all the inherent biases that entails. Wayne Holmes has noted that AI ignores minority opinions and marginalised perspectives, perpetuating a Silicon Valley perspective and world outlook. Clearly there are considerable ethical issues about education institutions that have a mission to be diverse and inclusive using tools that engender harmful biases and replicate real world inequalities. Kate is an experienced digital marketer and UX (user experience) designer, who’s worked in Australia, Hong Kong, and the UK. She’s spent much of her career in large tech and telecommunications firms, working with the human end of cutting edge technologies.

Generative design software requires significant computational power to process the large amounts of data involved in the design process. This can be a challenge for some companies, genrative ai particularly smaller ones with limited resources. Documentation and support are critical for ensuring that designers and engineers can use the software effectively.

GlobalData Thematic Intelligence

GM is the first automaker in North America to use new generative design software technology from Bay Area-based software company Autodesk. The heart of generative design software is the algorithms used to generate designs based on input parameters and goals. These algorithms can be complex and may require knowledge of fields such as artificial intelligence and machine learning. Generative design is a process that uses algorithms and parameters to generate iterative design solutions. It is a powerful tool that is becoming increasingly popular in various industries due to its ability to produce faster design iterations, cost-cutting, and enhanced product performance.

• With such massive amounts of data being managed, updated and then made accessible to users the only way to practically run generative design is through the cloud.
• AI can analyze a chosen industry and focus on best practices to ensure that the training material is comprehensive and relevant to the needs of learners.
• Generative AI can assist in drafting an overview of training material that is effective and engaging.
• Failing to adhere to ethical and legal considerations can have serious consequences, including legal action and damage to your reputation.
• After originally training and working as an engineer, Chris joined a fashion services and technology company 30 years ago to implement ISO9001.

September 5, 2023