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 ...

Manufacturing an industrial product that can go viral with your target audience is difficult. There are so many elements that need to be optimized simultaneously: material, utility, space, strength, ...

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 ...

Image creators were among the first generative AI tools to capture the public imagination. Since then, the market has matured quickly, with AI image generators evolving from impressive technological ...

Innovation is transformative. It’s why we ride in a Mustang instead of on a mustang. Centuries of knowledge now fit in the palm of our hand. Products move from reliable to revolutionary. Yet ideas ...

Maybe you believe generative design and artificial intelligence (AI) are years away—nothing to think about. If so, you’re not alone. In Protolabs’ recently released report, Product Development Outlook ...

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

James has been writing about technology for years but has loved it since the early 90s. While his main areas of expertise are maker tools -- 3D printers, vinyl cutters, paper printers, and laser ...

Arian Hakimi is a lead designer at Zaha Hadid Architects at their London Office. Arian sees a distinction between the two terms; parametric design versus generative design, despite the two often being ...

Generative artificial intelligence (AI) represents the next great step forward in PCB design. This is, of course, what you might expect me to say. 2023 has been a year dominated by the rise of ...

Generative models have gained widespread attention in recent years due to their inverse design capabilities and their potential to accelerate the molecular design and discovery processes. This ...