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.

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 ...

Artificial Intelligence has been used in design and manufacturing for some time, since the deep learning revolution of the early 2010s at least. However, designers, engineers, and architects are ...

AI-driven generative design automates the exploration of thousands of design permutations, significantly reducing development cycles and costs. Integration of simulation and manufacturing constraints ...

The integration of generative AI (GenAI) into tools such as cloud-based SaaS (software-as-a-service) products are driving dynamic transformation in the industrial automation space. The emergence of ...

“The selection helper identifies additional edges that the user may want to chamfer or fillet based on the current selection. This reduces the tedious task of selecting many edges manually.” It’s a ...

The cloud-based web interface of Hypar allows for fairly complex building models to be generated and tweaked from a set of presets. Automating different elements of the design process is nothing new, ...

Editor’s note: As retail interfaces and systems continue to evolve, the way we design retail experiences to user needs and behaviors is also transforming. In the new series “Stimulating Retail,” join ...

MIT engineers trained several AI models on thousands of bicycle frames, sourced from a dataset of full bicycle designs, shown here color-coded by bike style. ChatGPT and other deep generative models ...