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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 ...

Ansys 2026 R1 introduces generative AI and the portfolio's first agentic capabilities, bolstering an AI-enhanced portfolio that accelerates validation, speeds design exploration, and automates complex ...

Researchers at the Toyota Research Institute (TRI) in Los Altos, Calif. have released a pair of papers describing a technique for incorporating precise engineering constraints into a generative ...

From medical image interpretation to remote monitoring to digital pathology systems, artificial intelligence is already at the forefront of medical device innovation. While manufacturers continue to ...

Generative AI is not a standalone solution. When combined with composable architecture, it enables new levels of agility, ...

On Feb. 20, the Center for Human-Computer Interaction + Design convened an interdisciplinary group to discuss the validity and trustworthiness of social and behavioral data simulated by large language ...

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

This Collection supports and amplifies research related to SDG 9 and SDG 12. The concept of artificial intelligence (AI) as a creative design tool might once have been controversial. But in recent ...

It has been two years since OpenAI’s generative AI (GenAI) tool ChatGPT was launched, and with many rivals emerging on the market since, GenAI technology is beginning to be deployed in many industries ...

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 ...