These are just two examples from many design-related use cases, and they’re relatively minor advances compared to generative AI’s potential.

KEY TAKEAWAYS • Examples of generative AI include music production, where deep neural network-based synthesis engines can generate human-sounding vocals. (Jump to Section)• Marketing ...

As artificial intelligence becomes increasingly embedded in everyday products, the way we define and design experiences is ...

These are very active research questions, and any perceived deficiencies stand to be mitigated rapidly as generative AI systems improve. And if today’s systems don’t suffice to support every aspect of ...

For example, reducing weight through product design and material choices can have a considerable impact. Handheld tools can be made lighter and more ergonomic. The weight of sports equipment can ...

As the “generative” part of the name suggests, generative AI is most valuable at the early, ideative stages of a project. For example, Midjourney could help you create a truly one-of-a-kind ...

Additionally, generative AI can be designed into EDA tools in such a way that they won’t only provide design advice but can also implement their own advice. For example, a chat-based AI assistant ...

Generative design studios are just taking off in Singapore. For example, Digital Blue Foam was one of the first that launched a web-based interactive generative design tool in December 2021.

For example, Google’s AlphaFold, an AI model for predicting protein folding, ... And it turned chip design into writing code. Generative AI can take digital synthesis and turbocharge it.

Generative AI can shine, for example, in tasks such as reworking assessment question sets, writing course outlines and learning objectives, and generating subtitles for audio and video clips. The key, ...