Generative AI technologies, such as large language models (LLMs) and their applications are now going mainstream: OpenAI and ChatGPT are leading the way, Meta and Alphabet also joining the race with ...

The spotlight on generative AI has gotten brighter than ever in recent months, and it’s sparking both excitement and fear among designers because of what it means for the future of creativity.

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

It is no secret that we’ve been critical of the recent framing of “generative design” as a technological trend largely driven by product marketing. We’ve instigated lively Twitter debates, a ...

A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...

An advanced design technique, used to develop components for aerospace and automotive industries, has been harnessed in the production of bespoke medical devices. An advanced design technique, used to ...

New production materials and methods have begun to revolutionize how we make things. If we look at individual manufacturing innovations in areas like the use of carbon fiber in passenger aircraft, ...