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.

As generative artificial intelligence reshapes the software landscape, technology professionals are increasingly seeking structured ways to develop practical expertise in building AI-driven systems.

Understand how generative AI works, including its underlying models, data requirements, and limitations, so you can lead informed conversations and decisions. Identify valuable use cases by applying ...

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 ...

In the last few years, generative AI has redefined product design and marketing for businesses looking to stay ahead. In fact, the market for AI in product design is projected to rapidly grow at 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, ...