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, ...

Generative design has progressed from the early days in the 1980s when the process required someone with a PhD in finite elements. Now, generative design can produce infinite varieties of product ...

Large language models, machine learning and similar tools all fall under the broad label of AI. However, they require different approaches if you want to make effective use of them. The 2025 ...

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 ...

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 ...

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

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 ...

Generative AI protein design has moved past predicting how existing proteins fold and into building entirely new ones from a functional specification. Tools such as RFdiffusion and ProteinMPNN now ...

Trial and error. On a napkin, on tracing paper, or on a black CAD background, much of an architect's work is to make and redo lines, shapes, objects, and images ...