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Design for manufacturing is a problem that has always plagued engineering teams. Product designs that look great as computer-aided design (CAD) often run into real-world obstacles when they reach the ...

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 ...

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

Software developer Bentley Systems has doubled down on its emphasis on open data standards and data lakes for design and construction, introducing two products earlier this month—OpenSite+ for civil ...

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

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 ...

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 ...

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 ...

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 ...

Manufacturing-first platform unifies design and production with automated engineering intelligence, cutting design cycles by up to 80% to shorten time-to-production LOS ANGELES, Jan. 28, 2026 (GLOBE ...