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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Modeling how cars deform in a crash, how spacecraft respond to extreme environments, or how bridges resist stress could be made thousands of times faster thanks to new artificial intelligence that ...

Engineering today is about much more than technical know-how—it’s about structured, creative problem-solving that bridges ...

The goal of engineering design is to address physical needs using practical, analytical, and technical skills to develop robust, efficient, and appropriate solutions. Unlike many of the calculations ...

Engineering ethics, like medical ethics, has become a branch of the larger field of practical and professional ethics. Engineers first formulated ethical norms specifically for engineering practice in ...

In practice, retrieval is a system with its own failure modes, its own latency budget and its own quality requirements.

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 ...